Model Comparison
GLM-4.6V (Non-reasoning)
vs. Step 3.7 Flash
Comparing 2 AI models · 10 benchmarks · Z AI, StepFun
Recommended Pick
St Step 3.7 Flash 15 metric wins Strongest on: Value, Input price, Blended price
Best Value
Step 3.7 Flash
100.0 value score
47.8 reasoning / $0.44/1M
Lowest Price
Step 3.7 Flash
$0.20/1M input price
Best Reasoning
Step 3.7 Flash
47.8 reasoning score
Blends available reasoning benchmarks
Best for Coding
Step 3.7 Flash
37.1 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
Step 3.7 Flash has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Step 3.7 Flash is 1.5x cheaper on input tokens than GLM-4.6V (Non-reasoning).
Speed gap
Step 3.7 Flash generates about 4.6x as many tokens per second as GLM-4.6V (Non-reasoning).
Reasoning gap
Step 3.7 Flash leads GLM-4.6V (Non-reasoning) by 21.8 points on reasoning.
Coding gap
Step 3.7 Flash leads GLM-4.6V (Non-reasoning) by 26.0 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
GLM-4.6V (Non-reasoning)
Z AI
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 3.7 Flash
StepFun
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 | Z GLM-4.6V (Non-reasoning) | Top Pick St Step 3.7 Flash |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.30/1M | $0.20/1M |
| Output Cost | $0.90/1M | $1.15/1M |
| Blended (3:1) | $0.45/1M | $0.44/1M |
| Specifications | ||
| Organization | Z AI | StepFun |
| Release Date | Dec 8, 2025 | May 29, 2026 |
| Performance & Speed | ||
| Throughput | 76.9 tok/s | 355.7 tok/s |
| TTFT | 1466ms | 836ms |
| Latency | 1466ms | 6459ms |
| Composite Indices | ||
| Value Score | 52.9 | 100.0 |
| Reasoning Score | 26.0 | 47.8 |
| Intelligence | 17.1 | 42.6 |
| Coding | 11.1 | 37.1 |
| Math | 26.3 | — |
| Standard Benchmarks | ||
| GPQA | 56.6% | 80.9% |
| MMLU Pro | 75.2% | — |
| HLE | 3.7% | 19.9% |
| LiveCodeBench | 41.1% | — |
| AIME 2025 | 26.3% | — |
| SciCode | 27.2% | 40.0% |
| LCR | 12.3% | 63.7% |
| IFBench | 27.9% | 67.3% |
| TAU-bench v2 | 30.7% | 98.5% |
| TerminalBench Hard | 3.0% | 35.6% |
Key Takeaways
Step 3.7 Flash offers the best value at $0.20/1M, making it ideal for high-volume applications and cost-conscious projects.
Step 3.7 Flash has the strongest reasoning profile with a 47.8 reasoning score, combining the available reasoning-heavy benchmarks.
Step 3.7 Flash reaches a 37.1 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
GLM-4.6V (Non-reasoning)
- General-purpose AI
- Versatile applications
Step 3.7 Flash
- Cost-sensitive applications
- High-volume processing
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
