Model Comparison
Large 3
vs. GPT-5.5 (xhigh)
Comparing 2 AI models · 10 benchmarks · Mistral, OpenAI
Recommended Pick
Op GPT-5.5 (xhigh) 10 metric wins Strongest on: Reasoning, Intelligence, Coding
Best Value
Large 3
100.0 value score
32.9 reasoning / $0.75/1M
Lowest Price
Large 3
$0.50/1M input price
Best Reasoning
GPT-5.5 (xhigh)
64.2 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
Large 3 has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Large 3 is 10x cheaper on input tokens than GPT-5.5 (xhigh).
Reasoning gap
GPT-5.5 (xhigh) leads Large 3 by 31.3 points on reasoning.
Coding gap
GPT-5.5 (xhigh) leads Large 3 by 36.4 points on coding.
Top-pick rationale
GPT-5.5 (xhigh) wins 10 measurable categories, including Reasoning, Intelligence, Coding, GPQA.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Large 3
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 3 | Top Pick Op GPT-5.5 (xhigh) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.50/1M | $5.00/1M |
| Output Cost | $1.50/1M | $30.00/1M |
| Blended (3:1) | $0.75/1M | $11.25/1M |
| Specifications | ||
| Organization | Mistral | OpenAI |
| Release Date | Dec 2, 2025 | Apr 23, 2026 |
| Performance & Speed | ||
| Throughput | 63.0 tok/s | 60.6 tok/s |
| TTFT | 674ms | 58138ms |
| Latency | 674ms | 58138ms |
| Composite Indices | ||
| Value Score | 100.0 | 13.0 |
| Reasoning Score | 32.9 | 64.2 |
| Intelligence | 16.2 | 54.8 |
| Coding | 22.7 | 59.1 |
| Math | 38.0 | — |
| Standard Benchmarks | ||
| GPQA | 68.0% | 93.5% |
| MMLU Pro | 80.7% | — |
| HLE | 4.1% | 44.3% |
| LiveCodeBench | 46.5% | — |
| AIME 2025 | 38.0% | — |
| SciCode | 36.2% | 56.1% |
| LCR | 34.7% | 74.3% |
| IFBench | 36.2% | 75.9% |
| TAU-bench v2 | 24.6% | 93.9% |
| TerminalBench Hard | 15.9% | 60.6% |
Key Takeaways
Large 3 offers the best value at $0.50/1M, making it ideal for high-volume applications and cost-conscious projects.
GPT-5.5 (xhigh) has the strongest reasoning profile with a 64.2 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 3
- Cost-sensitive applications
- High-volume processing
GPT-5.5 (xhigh)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
