AI

AI

AI

GPT 5.1 vs Claude 4.5 Sonnet vs Gemini 3 Pro vs DeepSeek-V3.2: The definitive 2025 AI model comparison

December 3, 2025

GPT 5.1 vs Claude 4.5 Sonnet vs Gemini 3 Pro vs DeepSeek-V3.2: The definitive 2025 AI model comparison
GPT 5.1 vs Claude 4.5 Sonnet vs Gemini 3 Pro vs DeepSeek-V3.2: The definitive 2025 AI model comparison
GPT 5.1 vs Claude 4.5 Sonnet vs Gemini 3 Pro vs DeepSeek-V3.2: The definitive 2025 AI model comparison

Summarize this article with

Summarize this article with

Table of Contents

Don’t Just Read About SEO & GEO Experience The Future.

Don’t Just Read About SEO & GEO Experience The Future.

Join 500+ brands growing with Passionfruit! 

Gemini 3 Pro leads overall reasoning benchmarks with an unprecedented 1501 LMArena Elo, becoming the first model to break the 1500 barrier, while Claude 4.5 Sonnet dominates real-world coding at 77.2% SWE-bench and DeepSeek-V3.2 delivers frontier-class performance at 10-30x lower cost. GPT 5.1's adaptive reasoning offers the best developer experience for production applications, though each model excels in distinct domains. This comparison analyzes every nuance across writing, coding, SEO, benchmarks, pricing, and specialized capabilities based on extensive research as of December 2025.

GPT 5.1 vs Claude 4.5 vs Gemini 3 vs DeepSeek-V3.2: Release dates and model specifications

All four models represent late-2025 frontier AI, released within weeks of each other:

Model

Developer

Release Date

Architecture

Parameters

Claude 4.5 Sonnet

Anthropic

September 29, 2025

Transformer

Undisclosed

GPT 5.1

OpenAI

November 12, 2025

Transformer

Undisclosed

Gemini 3 Pro

Google DeepMind

November 18, 2025

Sparse MoE

Undisclosed

DeepSeek-V3.2

DeepSeek

December 1, 2025

Sparse MoE

671B total / 37B active

GPT 5.1 arrived approximately three months after GPT-5's August 7, 2025 launch, introducing adaptive reasoning that dynamically adjusts "thinking time" based on task complexity. Gemini 3 Pro is Google's first model to integrate "Deep Think" mode for extended reasoning. DeepSeek-V3.2 introduced DeepSeek Sparse Attention (DSA), reducing long-context inference costs by ~70%. Claude 4.5 Sonnet positions as "the best coding model in the world" with demonstrated 30+ hour autonomous operation capability.

Context window, speed, and technical specifications comparison

Context windows and token limits

Specification

GPT 5.1

Claude 4.5 Sonnet

Gemini 3 Pro

DeepSeek-V3.2

Input Context

272,000 tokens

200,000 (1M beta)

1,000,000 tokens

128,000 tokens

Output Limit

128,000 tokens

64,000 tokens

64,000 tokens

8K-64K tokens

Total Context

400,000 tokens

200K-1M

1M+ (planned 2M)

128,000 tokens

Gemini 3 Pro's million-token context window enables processing entire codebases, books, or extensive document collections in a single prompt. Claude 4.5 Sonnet offers a 1M beta via API header (context-1m-2025-08-07), while GPT 5.1's "compaction" technique allows working across multiple context windows, handling millions of tokens in single tasks through compressed summaries.

Speed and latency characteristics

Model

Output Speed

Time to First Token

Notes

GPT 5.1 Instant

~150+ tokens/sec

<2 seconds

Adaptive; 2-3x faster than GPT-5

Claude 4.5 Sonnet

~63 tokens/sec median

~1.80 seconds

Prioritizes safety verification

Gemini 3 Pro

~100+ tokens/sec

Variable

Deep Think trades speed for quality

DeepSeek-V3.2

~50-80 tokens/sec

~3+ seconds

DSA cuts long-context costs 70%

GPT 5.1's adaptive reasoning delivers instant responses (~2 seconds) for simple tasks versus 10+ seconds for complex reasoning, using approximately 50% fewer tokens than competitors at similar quality levels. DeepSeek's Sparse Attention architecture achieves complexity reduction from O(L²) to O(kL), dramatically lowering inference costs.

API pricing comparison 2025: GPT 5.1 vs Claude 4.5 vs Gemini 3 vs DeepSeek-V3.2

API pricing per million tokens

Model

Input Price

Output Price

Cached Input

Effective Cost

DeepSeek-V3.2

$0.27

$1.10

$0.07

Cheapest by 10-30x

GPT 5.1

$1.25

$10.00

$0.125 (90% off)

60% cheaper than GPT-4o

Gemini 3 Pro (≤200K)

$2.00

$12.00

Caching available

Mid-tier pricing

Gemini 3 Pro (>200K)

$4.00

$18.00

Premium for long context

Claude 4.5 Sonnet

$3.00

$15.00

$0.30 (90% off)

Highest proprietary cost

DeepSeek-V3.2's pricing is revolutionary: at $0.27/$1.10 per million tokens, a complex task costing $15 with GPT-5 costs approximately $0.50 with DeepSeek. The model ships under MIT license, enabling free self-hosting and eliminating API costs entirely for organizations with GPU infrastructure. GPT 5.1 offers the best proprietary value with 75% cheaper input and 60% cheaper output than GPT-4o.

Subscription tiers

Tier

GPT 5.1 (ChatGPT)

Claude 4.5

Gemini 3

Free

Limited GPT-5.1 access

Claude.ai basic

Google AI Studio

Pro/Plus

$20/month

Pro tier

$20/month (AI Pro)

Premium

$200/month (Pro)

Max tier

$250/month (Ultra with Deep Think)

Enterprise

Custom

Team/Enterprise SSO

Vertex AI custom

AI reasoning benchmarks: GPT 5.1 vs Claude 4.5 vs Gemini 3 Pro vs DeepSeek-V3.2

Core reasoning performance

Benchmark

Gemini 3 Pro

GPT 5.1

Claude 4.5 Sonnet

DeepSeek-V3.2

GPQA Diamond (PhD science)

91.9%

88.1%

83.4%

79.9-80.7%

Humanity's Last Exam

37.5% (41% Deep Think)

26.5-31.6%

~28%

19.8-21.7%

ARC-AGI-2

31.1% (45.1% Deep Think)

17.6%

~15%

~15%

MMLU

~91%+

91.38%

86.5-89%

88.5%

MMLU-Pro

Leading

Part of Index 68

Strong

85.0%

LMArena Elo

1501 (first >1500)

~1480

~1453

~1455

Gemini 3 Pro achieved an unprecedented 91.9% on GPQA Diamond, surpassing human expert performance (~89.8%). Its Deep Think mode pushes Humanity's Last Exam to 41%—the highest published score. The model's 10-15 step coherent reasoning chains (versus 5-6 in previous models) enable solving problems that stymied earlier frontier systems.

Mathematical reasoning benchmarks

Benchmark

DeepSeek-V3.2 Speciale

Gemini 3 Pro

GPT 5.1

Claude 4.5 Sonnet

AIME 2025 (no tools)

96.0%

95.0%

94.6%

87.0%

AIME 2025 (with tools)

100%

100%

100%

HMMT 2025

99.2%

97.5%

~95%

~92%

FrontierMath

26.3-32.1%

MathArena Apex

Strong

23.4%

1.0%

1.6%

DeepSeek-V3.2 Speciale achieved remarkable competition results: IMO 2025 Gold Medal (35/42), IOI 2025 Gold Medal (492/600, 10th place), ICPC World Finals 2nd place (10/12 problems), and CMO 2025 Gold Medal. These competition victories demonstrate that open-source models can match or exceed proprietary systems in specialized mathematical reasoning.

Best AI for coding 2025: Claude 4.5 vs GPT 5.1 vs Gemini 3 vs DeepSeek-V3.2

Real-world software engineering benchmarks

Benchmark

Claude 4.5 Sonnet

GPT 5.1 Codex-Max

Gemini 3 Pro

DeepSeek-V3.2

SWE-bench Verified

77.2% (82% parallel)

77.9%

76.2%

67.8-74.9%

Terminal-Bench 2.0

61.3% (first >60%)

58.1%

54.2%

46.4%

Aider Polyglot

~72% (Opus 4)

88.0%

83.1%

74.2%

LiveCodeBench Elo

1,418

2,243

2,439

~2,100

Codeforces Rating

~1,800+ Expert

~2,200+ Master

2,708 Grandmaster

2,701 Grandmaster

Claude 4.5 Sonnet leads SWE-bench Verified at 77.2%, resolving real GitHub issues with the highest success rate. It became the first model to crack the 60% barrier on Terminal-Bench 2.0, demonstrating superior agentic terminal/CLI coding capabilities. Replit reports Claude achieved 0% error rate on their internal code editing benchmark (down from 9% on Sonnet 4).

Gemini 3 Pro dominates algorithmic and competitive programming with a 2,439 LiveCodeBench Elo and Grandmaster-tier Codeforces rating. GPT 5.1 shows the strongest multi-language code editing performance at 88% on Aider Polyglot, handling C++, Go, Java, JavaScript, Python, and Rust with exceptional consistency.

Programming language performance by model

Language

Best Model

Reasoning

Python

Claude 4.5 Sonnet

Superior complex refactoring, debugging

JavaScript/TypeScript

Claude 4.5 Sonnet

Best React/Vue/Angular framework patterns

C++

Gemini 3 Pro

Superior algorithmic reasoning, IOI leader

Java

GPT 5.1

Strong enterprise patterns, Spring Boot

Rust

GPT 5.1

Good memory safety understanding

Go

Claude 4.5 Sonnet

Strong concurrent patterns

Ruby

GPT 5.1

Rails support

Developer tool integration quality

GitHub Copilot integrates all four models, with 68% of developers using AI tools naming it their primary assistant (Stack Overflow 2025). Claude 4.5 Sonnet "amplifies Copilot's core strengths" with "significant improvements in multi-step reasoning and code comprehension."

Cursor IDE prefers Claude models, reporting "state-of-the-art coding performance" with "significant improvements on longer horizon tasks." Devin (Cognition's AI developer) saw +18% planning performance and +12% end-to-end eval scores with Claude 4.5—"the biggest jump since Claude Sonnet 3.6."

GPT 5.1 introduced powerful new tools: apply_patch for freeform code editing without JSON escaping, and shell for direct shell command execution. These enable more natural code manipulation workflows.

Best AI for writing 2025: GPT 5.1 vs Claude 4.5 vs Gemini 3 Pro comparison

Creative writing performance

Capability

Best Model

Rating

Evidence

Fiction/Storytelling

Claude 4.5 Sonnet

⭐⭐⭐⭐⭐

"Most natural dialogue, richer imagery, cleaner rhythm"

Technical Documentation

GPT 5.1

⭐⭐⭐⭐⭐

Superior data synthesis, scalable documentation

Marketing Copy

Claude 4.5 Sonnet

⭐⭐⭐⭐⭐

Best conversion copy, brand voice control

Long-Form Coherence

Claude 4.5 Sonnet

⭐⭐⭐⭐⭐

30+ hour sustained work, 200K context

Tone Flexibility

Claude 4.5 Sonnet

⭐⭐⭐⭐⭐

"Exceptional emotional intelligence"

Claude 4.5 Sonnet is described as "the LLM with the most soul in their writing," producing vivid character development, immersive world-building, and winning head-to-head tests for "more vivid and genre-specific narratives." The model maintains character consistency across its full 200K token context window.

GPT 5.1 excels at technical and professional writing but struggles with creative fiction: "still uneven in creativity" with some stories showing "glimpses of brilliance" while others "lack cohesion" and "overuse literary tropes." The model offers 8 tone presets (Default, Friendly, Efficient, Professional, Candid, Quirky, Nerdy, Cynical) with granular customization.

Gemini 3 Pro produces compelling but less distinctive narratives: "less 'voicey' but produces compelling narratives with solid storytelling." The model prioritizes precision over personality—"if your brand voice is plain-English and practical, this 'safety' becomes a feature."

DeepSeek-V3.2 delivers "better-than-expected fiction for an open model" but is "conservative in imagery compared to Claude" and "needs light voice coaching to avoid generic phrasing."

Chatbot Arena creative writing rankings (November 2025)

Rank

Model

Notes

1

Claude Opus 4.1 / Gemini 2.5-3 Pro

Tied at top

8-9

GPT-5/5.1

Mid-tier creative

11+

DeepSeek V3

Strong for open-source

AI for SEO: Comparing GPT 5.1, Claude 4.5, Gemini 3 Pro, and DeepSeek-V3.2

Content optimization performance

SEO Task

Best Model

Analysis

Keyword Research

Gemini 3 Pro

Best entity coverage from large document sets

Content Hierarchies

Gemini 3 Pro

"Consistently produced clean H2/H3 hierarchies"

Meta Descriptions

GPT 5.1

Most commonly used in SEO tools (Semrush, Surfer)

Content Strategy

Gemini 3 Pro

Strong multimodal analysis of competitor pages

Long-Form SEO

Claude 4.5 Sonnet

Best coherence for pillar content

75% of marketers now use AI to reduce time on keyword research and meta-tag optimization, with AI automating 44.1% of key SEO tasks. Gemini 3 Pro's 1M token context enables analyzing entire competitor sites simultaneously, while its multimodal capabilities allow direct screenshot and PDF analysis for competitive research.

GPT-based tools (Jasper, Copy.ai, Semrush AI) dominate the SEO tool ecosystem, making GPT 5.1 the de facto standard for most SEO workflows. However, Gemini 3 Pro produces superior entity coverage and search intent mapping when used directly.

Multimodal AI comparison: Vision, audio, and video capabilities

Capability

GPT 5.1

Claude 4.5 Sonnet

Gemini 3 Pro

DeepSeek-V3.2

Image Input

✅ PNG, JPEG, WebP, GIF (50MB)

✅ Full vision

Native multimodal

❌ Text only

Video Understanding

✅ Basic

87.6% Video-MMMU

Audio Processing

✅ Transcription, reasoning

✅ Native audio

Image Generation

✅ Via Gemini 3 Pro Image

MMMU Score

84.2%

77.8%

81.0% (MMMU-Pro)

N/A

Gemini 3 Pro was built from the ground up as natively multimodal, seamlessly synthesizing across text, images, audio, and video. Its "Generative UI" feature dynamically creates both content AND custom user interfaces—magazine-style layouts, interactive simulations, and visual calculators tailored to each prompt.

GPT 5.1 leads MMMU (multimodal understanding) at 84.2%, slightly ahead of Gemini. Claude 4.5 Sonnet trails in vision (77.8% MMMU) but offers strong practical image analysis for code screenshots and diagrams. DeepSeek-V3.2 is text-only; separate DeepSeek-VL2 models handle vision tasks.

AI agent capabilities: Autonomous operation and tool use comparison

Computer use and autonomous operation

Benchmark

Claude 4.5 Sonnet

GPT 5.1

Gemini 3 Pro

OSWorld

61.4% (leading)

~55%

~50%

TAU-bench Retail

86.2%

80.2%

85.4%

TAU-bench Telecom

98.0%

96.7%

Autonomous Duration

30+ hours

24+ hours

Variable

Claude 4.5 Sonnet demonstrated the ability to autonomously rebuild Claude.ai's web application over ~5.5 hours with 3,000+ tool uses, showcasing remarkable sustained focus. The model's OSWorld score jumped 45% (42.2% → 61.4%) in four months, reflecting rapid improvement in real-world computer tasks.

GPT 5.1 introduced the Codex-Max variant specifically for "long-running agentic coding tasks," using 30% fewer thinking tokens than standard GPT-5.1-Codex at equivalent quality. Its "compaction" technique enables working across multiple context windows.

Gemini 3 Pro launched alongside Google Antigravity, a new agentic development platform featuring multi-pane interfaces (prompt + terminal + browser) where agents autonomously plan, execute, and validate end-to-end software tasks.

DeepSeek-V3.2 is the first model to integrate reasoning directly into tool-use, preserving reasoning traces across multiple tool calls. However, its V3.2-Speciale variant (highest performance) does not support tool-use.

AI safety and alignment: GPT 5.1 vs Claude 4.5 vs Gemini 3 vs DeepSeek-V3.2

Safety architecture comparison

Aspect

GPT 5.1

Claude 4.5 Sonnet

Gemini 3 Pro

DeepSeek-V3.2

Safety Classification

High capability (Bio/Chem)

ASL-3

Frontier Safety Framework

Chinese regulation compliant

Hallucination Reduction

~45% fewer vs GPT-4o

~80% fewer in health contexts

Reduced

Strong (97.1% SimpleQA)

Sycophancy

Reduced ("less effusively agreeable")

"Substantially reduced"

Reduced

Unknown

Deception Rate

2.1% (GPT-5 thinking)

"First model to never engage in blackmail"

Testing

5,000+ hours, 400+ testers

Constitutional AI + RLHF

UK AISI, Apollo, Vaultis

Limited disclosure

Claude 4.5 Sonnet achieved a 98.7% safety score and became the first model to never engage in blackmail in alignment testing scenarios. Harmful request compliance dropped to <5% failure rate (versus 20-40% for Sonnet 4), while false positive rates in safety classifiers fell 10x overall.

GPT 5.1 introduced "safe completions"—providing helpful high-level responses rather than outright refusals—while reducing deception rates to 2.1% versus 4.8% for o3.

DeepSeek-V3.2 includes built-in censorship for CCP-sensitive topics per Chinese regulation requirements (Tiananmen, Taiwan, Xi Jinping, Uyghurs, Tibet). Security researchers found politically sensitive prompts can increase security vulnerabilities by ~50% with an identified "intrinsic kill switch" affecting code quality.

Multilingual AI capabilities: Language support comparison 2025

Capability

GPT 5.1

Claude 4.5 Sonnet

Gemini 3 Pro

DeepSeek-V3.2

Languages Tested

24+

14+

140+

Chinese/English primary

MMMLU Score

89.1%

89.1%

93.4% (Global PIQA, 100 languages)

Strong Chinese

Translation Quality

Strong high-resource

Strong contextual

Strong + cultural

Chinese excellence

Unique Strength

IndQA benchmark (12 Indian languages)

Cultural awareness

Gemini Live (40+ languages)

Chinese SimpleQA leader

Gemini 3 Pro supports 140+ languages with 40+ languages for conversational AI through Gemini Live. Claude 4.5 Sonnet excels at "contextual understanding beyond literal translation" with cultural awareness for idiomatic expressions. DeepSeek-V3.2 surpasses GPT-4o and Claude on Chinese SimpleQA, making it the strongest model for Chinese-language applications.

Unique features: What makes each AI model different in 2025

GPT 5.1 exclusive capabilities

  • Adaptive reasoning: Dynamically adjusts thinking depth per task complexity

  • 24-hour prompt caching: Extended cache retention for follow-up efficiency

  • Personality presets: 8 tone options with granular customization sliders

  • Codex-Max compaction: Works across multiple context windows (millions of tokens)

  • Free-form tool calls: Returns SQL, Python, CLI directly (not just JSON)

Claude 4.5 Sonnet exclusive capabilities

  • 30+ hour autonomous operation: Maintains focus on complex multi-step tasks

  • Context editing: Reduces token use by 84% in 100-turn evaluations

  • Claude Agent SDK: Same infrastructure powering Claude Code

  • "Imagine with Claude": Generates software on-the-fly (research preview)

  • 0% code editing error rate (Replit internal benchmark)

Gemini 3 Pro exclusive capabilities

  • Generative UI: Dynamically creates custom interfaces per prompt

  • Google Antigravity: New agentic IDE platform with agent workspace management

  • 1M native context: Largest context window among frontier models

  • Thought signatures: Encrypted reasoning context maintained across API calls

  • Native multimodal: Built multimodal from ground up (not retrofitted)

DeepSeek-V3.2 exclusive capabilities

  • MIT open-source license: Full weights, free commercial use

  • DeepSeek Sparse Attention: 70% inference cost reduction at 128K context

  • Thinking in tool-use: First to integrate reasoning directly into tool calls

  • Competition victories: IMO, IOI, ICPC gold medals

  • 10-30x cost advantage: Frontier performance at fraction of proprietary pricing

Which AI model should you choose? Use case recommendations 2025

Use Case

Recommended Model

Rationale

Enterprise software development

Claude 4.5 Sonnet

Best debugging, 30+ hour focus, safety

Competitive programming

Gemini 3 Pro

2,439 LiveCodeBench Elo, Grandmaster tier

Cost-sensitive production

DeepSeek-V3.2

10-30x cheaper, MIT license

General development

GPT 5.1

Best IDE integration, adaptive speed

Large codebase analysis

Gemini 3 Pro

1M token context

Creative writing

Claude 4.5 Sonnet

"Most soul," vivid narratives

Technical documentation

GPT 5.1

Superior synthesis, scalability

SEO content

Gemini 3 Pro

Best entity coverage, hierarchies

Multimodal applications

Gemini 3 Pro

Native multimodal, video understanding

Chinese-language tasks

DeepSeek-V3.2

Leads Chinese SimpleQA

Research and science

Gemini 3 Pro

91.9% GPQA Diamond

Long-form content

Claude 4.5 Sonnet

200K context coherence

Self-hosting/privacy

DeepSeek-V3.2

Open weights, MIT license

Mathematical reasoning

DeepSeek-V3.2 Speciale

96% AIME, competition gold medals

Final verdict: Best AI model for 2025 (GPT 5.1 vs Claude 4.5 vs Gemini 3 vs DeepSeek-V3.2)

No single model dominates every category—the "best" choice depends entirely on use case priorities.

Gemini 3 Pro leads overall reasoning benchmarks (91.9% GPQA Diamond, 1501 LMArena Elo) and offers the largest context window (1M tokens) with native multimodal capabilities. Choose Gemini for research, scientific reasoning, competitive programming, and multimodal applications.

Claude 4.5 Sonnet excels at real-world software engineering (77.2% SWE-bench, 0% code editing errors) with unmatched autonomous operation capability (30+ hours). Its writing produces the most natural, emotionally resonant content. Choose Claude for enterprise coding, debugging, creative writing, and long-running agentic tasks.

GPT 5.1 delivers the best developer experience with adaptive reasoning, extensive IDE integration, and strong cost-efficiency ($1.25/$10 per million tokens). Its ecosystem dominance (Copilot, Cursor support) makes it the practical default. Choose GPT for general development, technical documentation, and production applications.

DeepSeek-V3.2 revolutionizes the cost equation at $0.27/$1.10 per million tokens—10-30x cheaper than alternatives—while achieving frontier performance on mathematics and coding. Its open-source MIT license enables complete self-hosting. Choose DeepSeek for cost-sensitive projects, Chinese-language applications, and organizations requiring full model control.

The late-2025 frontier model landscape has compressed performance gaps while expanding differentiation in cost, context length, multimodal capabilities, and specialized strengths. Organizations increasingly deploy multiple models strategically—routing queries to the optimal model per task type—rather than standardizing on a single provider.

Read More
Read More

The latest handpicked blog articles

Grow with Passion.

Create a systematic, data backed, AI ready growth engine.

Grow with Passion.

Create a systematic, data backed, AI ready growth engine.

Grow with Passion.

Create a systematic, data backed, AI ready growth engine.