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
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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.















