ReviewNovember 26, 2025

GPT-5.1 Performance Review: Complete Benchmark Analysis (November 2025)

Comprehensive review of GPT-5.1 performance across all major benchmarks. SWE-bench, AIME 2025, adaptive reasoning analysis, and comparison with competitors.

GPT-5.1 Performance Review

OpenAI released GPT-5.1 on November 13, 2025. Here's our comprehensive benchmark analysis.

Benchmark Results

Coding Performance

  • SWE-bench Verified: 76.3% (up from 74.2%)
  • HumanEval: 98.1%
  • MBPP: 96.4%

Reasoning Performance

  • AIME 2025: 94.0% (top 0.1% human performance)
  • GPQA Diamond: 81.9%
  • MMLU: 92.4%

Key Innovation: Adaptive Reasoning

GPT-5.1 introduces adaptive reasoning with dynamic thinking time:

  • Automatically adjusts computation for task complexity
  • 30% better token efficiency
  • Maintains quality while reducing costs

Speed Improvements

MetricGPT-5.0GPT-5.1Improvement
TTFT2.4s1.8s25% faster
Tokens/sec~55~7027% faster

Pricing

TierInput ($/M)Output ($/M)
GPT-5.1$2.50$10
GPT-5.1 Mini$0.50$2

Competitive Position

vs Claude 4.5

  • SWE-bench: GPT 76.3% vs Claude 77.2% (-0.9)
  • Speed: GPT wins significantly
  • Cost: GPT wins significantly

vs Gemini 3

  • General: Competitive
  • Multimodal: Gemini leads
  • Coding: GPT leads

Strengths

1. Speed Leader: Fastest frontier model

2. Value: Best price-performance ratio

3. Versatility: Strong across all tasks

4. Ecosystem: Extensive integrations

Weaknesses

1. Coding: Still behind Claude

2. Hallucinations: Occasional issues

3. Context: Smaller than Gemini (256K)

Developer Experience

  • Excellent documentation
  • Stable API
  • Generous rate limits
  • Strong SDK support

Recommendation

Best For:
  • Rapid prototyping
  • Customer-facing applications
  • Cost-conscious projects
  • General-purpose AI tasks
Consider Alternatives For:
  • Mission-critical code (Claude)
  • Multimodal (Gemini)
  • Maximum context (Gemini)

Final Score: 8.8/10

GPT-5.1 delivers excellent value with competitive performance. Speed and pricing advantages make it attractive for many use cases.

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