Model Comparison
Large (Feb '24)
vs. GPT-5.5 (xhigh)
Comparing 2 AI models · 11 benchmarks · Mistral, OpenAI
Recommended Pick
Op GPT-5.5 (xhigh) 7 metric wins Strongest on: Value, Throughput, Reasoning
Best Value
GPT-5.5 (xhigh)
100.0 value score
66.0 reasoning / $11.25/1M
Lowest Price
Large (Feb '24)
$4.00/1M input price
Best Reasoning
GPT-5.5 (xhigh)
66.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
GPT-5.5 (xhigh)
59.1 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
GPT-5.5 (xhigh) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Large (Feb '24) is 1.3x cheaper on input tokens than GPT-5.5 (xhigh).
Reasoning gap
GPT-5.5 (xhigh) leads Large (Feb '24) by 45.8 points on reasoning.
Top-pick rationale
GPT-5.5 (xhigh) wins 7 measurable categories, including Value, Throughput, Reasoning, Intelligence.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Large (Feb '24)
Mistral
TTFT
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Time
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tok/s
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Tokens
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Cost
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GPT-5.5 (xhigh)
OpenAI
TTFT
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Time
—
tok/s
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Tokens
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Cost
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Which answer was more useful?
Full Comparison
| Metric | Mi Large (Feb '24) | Top Pick Op GPT-5.5 (xhigh) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $4.00/1M | $5.00/1M |
| Output Cost | $12.00/1M | $30.00/1M |
| Blended (3:1) | $6.00/1M | $11.25/1M |
| Specifications | ||
| Organization | Mistral | OpenAI |
| Release Date | Feb 26, 2024 | Apr 23, 2026 |
| Performance & Speed | ||
| Throughput | — | 61.4 tok/s |
| TTFT | — | 62483ms |
| Latency | — | 62483ms |
| Composite Indices | ||
| Value Score | 57.4 | 100.0 |
| Reasoning Score | 20.2 | 66.0 |
| Intelligence | 9.9 | 60.2 |
| Coding | — | 59.1 |
| Standard Benchmarks | ||
| GPQA | 35.1% | 93.5% |
| MMLU Pro | 51.5% | — |
| HLE | 3.4% | 44.3% |
| LiveCodeBench | 17.8% | — |
| MATH 500 | 52.7% | — |
| AIME (Original) | 0.0% | — |
| SciCode | 20.8% | 56.1% |
| LCR | — | 74.3% |
| IFBench | — | 75.9% |
| TAU-bench v2 | — | 93.9% |
| TerminalBench Hard | — | 60.6% |
Key Takeaways
Large (Feb '24) offers the best value at $4.00/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-5.5 (xhigh) has the strongest reasoning profile with a 66.0 reasoning score, combining the available reasoning-heavy benchmarks.
GPT-5.5 (xhigh) reaches a 59.1 coding index, making it the top choice for software development and code generation tasks.
All models support context windows of ∞+ tokens, suitable for processing lengthy documents and maintaining extended conversations.
When to Choose Each Model
Large (Feb '24)
- Cost-sensitive applications
- High-volume processing
GPT-5.5 (xhigh)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
