Model Comparison
Qwen3 235B A22B 2507 Instruct
vs. Step 3.5 Flash 2603
Comparing 2 AI models · 12 benchmarks · Alibaba, StepFun
Recommended Pick
StStep 3.5 Flash 260314 metric winsStrongest on: Value, Input price, Output price
Best Value
Step 3.5 Flash 2603
100.0 value score
43.7 reasoning / $0.15/1M
Lowest Price
Step 3.5 Flash 2603
$0.10/1M input price
Best Reasoning
Qwen3 235B A22B 2507 Instruct
59.6 reasoning score
Blends available reasoning benchmarks
Composite Indices
Higher is better; speed and price are normalized
Standard Benchmarks
Only benchmarks with data are shown
Differences That Matter
Best value
Step 3.5 Flash 2603 has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Step 3.5 Flash 2603 is 7.0x cheaper on input tokens than Qwen3 235B A22B 2507 Instruct.
Speed gap
Step 3.5 Flash 2603 generates about 3.0x as many tokens per second as Qwen3 235B A22B 2507 Instruct.
Reasoning gap
Qwen3 235B A22B 2507 Instruct leads Step 3.5 Flash 2603 by 15.9 points on reasoning.
Top-pick rationale
Step 3.5 Flash 2603 wins 14 measurable categories, including Value, Input price, Output price, Blended price.
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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Step 3.5 Flash 2603
StepFun
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 St Step 3.5 Flash 2603 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.70/1M | $0.10/1M |
| Output Cost | $2.80/1M | $0.30/1M |
| Blended (3:1) | $1.22/1M | $0.15/1M |
| Specifications | ||
| Organization | Alibaba | StepFun |
| Release Date | Jul 21, 2025 | Apr 2, 2026 |
| Performance & Speed | ||
| Throughput | 65.2 tok/s | 198.6 tok/s |
| TTFT | 1154ms | 855ms |
| Latency | 1154ms | 10925ms |
| Composite Indices | ||
| Value Score | 16.7 | 100.0 |
| Reasoning Score | 59.6 | 43.7 |
| Intelligence | 18.2 | 26.0 |
| Math | 71.7 | — |
| Standard Benchmarks | ||
| GPQA | 75.3% | 82.6% |
| MMLU Pro | 82.8% | — |
| HLE | 10.6% | 22.6% |
| LiveCodeBench | 52.4% | — |
| MATH 500 | 98.0% | — |
| AIME 2025 | 71.7% | — |
| AIME (Original) | 71.7% | — |
| SciCode | 36.0% | 38.5% |
| LCR | 31.2% | 54.3% |
| IFBench | 46.1% | 66.5% |
| TAU-bench v2 | 33.3% | 87.4% |
| TerminalBench Hard | 15.2% | 32.6% |
Key Takeaways
Step 3.5 Flash 2603 offers the best value at $0.10/1M,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.
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
- Complex reasoning tasks
- Research & analysis
Step 3.5 Flash 2603
- Cost-sensitive applications
- High-volume processing
