Model Comparison
Qwen3 235B A22B 2507 Instruct
vs. Qwen3.7 Max
Comparing 2 AI models · 12 benchmarks · Alibaba
Recommended Pick
AlQwen3.7 Max9 metric winsStrongest on: Throughput, Intelligence, GPQA
Best Value
Qwen3 235B A22B 2507 Instruct
100.0 value score
59.6 reasoning / $1.22/1M
Lowest Price
Qwen3 235B A22B 2507 Instruct
$0.70/1M input price
Best Reasoning
Qwen3 235B A22B 2507 Instruct
59.6 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 235B A22B 2507 Instruct has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Qwen3 235B A22B 2507 Instruct is 3.6x cheaper on input tokens than Qwen3.7 Max.
Speed gap
Qwen3.7 Max generates about 3.1x as many tokens per second as Qwen3 235B A22B 2507 Instruct.
Reasoning gap
Qwen3 235B A22B 2507 Instruct leads Qwen3.7 Max by 0.8 points on reasoning.
Top-pick rationale
Qwen3.7 Max wins 9 measurable categories, including Throughput, Intelligence, GPQA, HLE.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Qwen3 235B A22B 2507 Instruct
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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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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Which answer was more useful?
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Full Comparison
| Metric | Al Qwen3 235B A22B 2507 Instruct | Top Pick Al Qwen3.7 Max |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.70/1M | $2.50/1M |
| Output Cost | $2.80/1M | $7.50/1M |
| Blended (3:1) | $1.22/1M | $3.75/1M |
| Specifications | ||
| Organization | Alibaba | Alibaba |
| Release Date | Jul 21, 2025 | May 19, 2026 |
| Performance & Speed | ||
| Throughput | 65.2 tok/s | 200.4 tok/s |
| TTFT | 1154ms | 1694ms |
| Latency | 1154ms | 13715ms |
| Composite Indices | ||
| Value Score | 100.0 | 32.2 |
| Reasoning Score | 59.6 | 58.8 |
| Intelligence | 18.2 | 46.0 |
| Coding | — | 66.0 |
| Math | 71.7 | — |
| Standard Benchmarks | ||
| GPQA | 75.3% | 92.3% |
| MMLU Pro | 82.8% | — |
| HLE | 10.6% | 38.1% |
| LiveCodeBench | 52.4% | — |
| MATH 500 | 98.0% | — |
| AIME 2025 | 71.7% | — |
| AIME (Original) | 71.7% | — |
| SciCode | 36.0% | 48.8% |
| LCR | 31.2% | 69.0% |
| IFBench | 46.1% | 80.5% |
| TAU-bench v2 | 33.3% | 94.7% |
| TerminalBench Hard | 15.2% | 50.8% |
Key Takeaways
Qwen3 235B A22B 2507 Instruct offers the best value at $0.70/1M,making it ideal for high-volume applications and cost-conscious projects.
Qwen3 235B A22B 2507 Instruct has the strongest reasoning profile with a 59.6 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
Qwen3 235B A22B 2507 Instruct
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
Qwen3.7 Max
- Code generation
- Software development
