Model Comparison
Qwen3.7 Max
vs. M (Reasoning)
Comparing 2 AI models · 11 benchmarks · Alibaba, Sarvam
Recommended Pick
Al Qwen3.7 Max 11 metric wins Strongest on: Throughput, Reasoning, Intelligence
Lowest Price
M (Reasoning)
$0.00/1M input price
Best Reasoning
Qwen3.7 Max
62.3 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.7 Max
50.1 coding index
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Price gap
M (Reasoning) is ∞x cheaper on input tokens than Qwen3.7 Max.
Reasoning gap
Qwen3.7 Max leads M (Reasoning) by 30.7 points on reasoning.
Coding gap
Qwen3.7 Max leads M (Reasoning) by 42.6 points on coding.
Top-pick rationale
Qwen3.7 Max wins 11 measurable categories, including Throughput, Reasoning, Intelligence, Coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3.7 Max
Alibaba
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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M (Reasoning)
Sarvam
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 | Top Pick Al Qwen3.7 Max | Sa M (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $2.50/1M | $0.00/1M |
| Output Cost | $7.50/1M | $0.00/1M |
| Blended (3:1) | $3.75/1M | — |
| Specifications | ||
| Organization | Alibaba | Sarvam |
| Release Date | May 19, 2026 | May 23, 2025 |
| Performance & Speed | ||
| Throughput | 187.3 tok/s | — |
| TTFT | 1670ms | — |
| Latency | 14532ms | — |
| Composite Indices | ||
| Value Score | 100.0 | — |
| Reasoning Score | 62.3 | 31.7 |
| Intelligence | 56.6 | 8.4 |
| Coding | 50.1 | 7.5 |
| Standard Benchmarks | ||
| GPQA | 92.3% | 41.6% |
| MMLU Pro | — | 69.6% |
| HLE | 38.1% | 3.3% |
| LiveCodeBench | — | 29.5% |
| MATH 500 | — | 84.7% |
| AIME (Original) | — | 20.3% |
| SciCode | 48.8% | 17.8% |
| LCR | 69.0% | 0.0% |
| IFBench | 80.5% | 31.8% |
| TAU-bench v2 | 94.7% | 0.0% |
| TerminalBench Hard | 50.8% | 2.3% |
Key Takeaways
M (Reasoning) offers the best value at $0.00/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3.7 Max has the strongest reasoning profile with a 62.3 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3.7 Max reaches a 50.1 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
Qwen3.7 Max
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
M (Reasoning)
- Cost-sensitive applications
- High-volume processing
