Model Comparison
Pixtral Large
vs. Qwen3.7 Max
Comparing 2 AI models · 12 benchmarks · Mistral, Alibaba
Recommended Pick
AlQwen3.7 Max10 metric winsStrongest on: Value, Throughput, Reasoning
Best Value
Qwen3.7 Max
100.0 value score
58.8 reasoning / $3.75/1M
Lowest Price
Pixtral Large
$2.00/1M input price
Best Reasoning
Qwen3.7 Max
58.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.7 Max
66.0 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
Qwen3.7 Max has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Pixtral Large is 1.3x cheaper on input tokens than Qwen3.7 Max.
Reasoning gap
Qwen3.7 Max leads Pixtral Large by 38.1 points on reasoning.
Top-pick rationale
Qwen3.7 Max wins 10 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.
Pixtral Large
Mistral
TTFT
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Time
—
tok/s
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Tokens
—
Cost
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Qwen3.7 Max
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Mi Pixtral Large | Top Pick Al Qwen3.7 Max |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $2.00/1M | $2.50/1M |
| Output Cost | $6.00/1M | $7.50/1M |
| Blended (3:1) | $3.00/1M | $3.75/1M |
| Specifications | ||
| Organization | Mistral | Alibaba |
| Release Date | Nov 18, 2024 | May 19, 2026 |
| Performance & Speed | ||
| Throughput | — | 203.4 tok/s |
| TTFT | — | 1544ms |
| Latency | — | 13385ms |
| Composite Indices | ||
| Value Score | 44.1 | 100.0 |
| Reasoning Score | 20.7 | 58.8 |
| Intelligence | 8.1 | 46.0 |
| Coding | — | 66.0 |
| Math | 2.3 | — |
| Standard Benchmarks | ||
| GPQA | 50.5% | 92.3% |
| MMLU Pro | 70.1% | — |
| HLE | 3.6% | 38.1% |
| LiveCodeBench | 26.1% | — |
| MATH 500 | 71.4% | — |
| AIME 2025 | 2.3% | — |
| AIME (Original) | 7.0% | — |
| SciCode | 29.2% | 48.8% |
| LCR | 10.3% | 69.0% |
| IFBench | 34.5% | 80.5% |
| TAU-bench v2 | 36.5% | 94.7% |
| TerminalBench Hard | — | 50.8% |
Key Takeaways
Pixtral Large offers the best value at $2.00/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3.7 Max has the strongest reasoning profile with a 58.8 reasoning score,combining the available reasoning-heavy benchmarks.
Qwen3.7 Max reaches a 66.0 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
Pixtral Large
- Cost-sensitive applications
- High-volume processing
Qwen3.7 Max
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
