Model Comparison
Gemma 4 31B (Non-reasoning)
vs. GLM-4.7-Flash (Reasoning)
Comparing 2 AI models · 7 benchmarks · Google, Z AI
Recommended Pick
Strongest on: Latency, Reasoning, Intelligence
Best Value
GLM-4.7-Flash (Reasoning)
100.0 value score
31.8 reasoning / $0.15/1M
Lowest Price
GLM-4.7-Flash (Reasoning)
$0.07/1M input price
Best Reasoning
Gemma 4 31B (Non-reasoning)
40.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemma 4 31B (Non-reasoning)
33.9 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
GLM-4.7-Flash (Reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
GLM-4.7-Flash (Reasoning) is 2.0x cheaper on input tokens than Gemma 4 31B (Non-reasoning).
Speed gap
GLM-4.7-Flash (Reasoning) generates about 1.4x as many tokens per second as Gemma 4 31B (Non-reasoning).
Reasoning gap
Gemma 4 31B (Non-reasoning) leads GLM-4.7-Flash (Reasoning) by 8.3 points on reasoning.
Coding gap
Gemma 4 31B (Non-reasoning) leads GLM-4.7-Flash (Reasoning) by 8.0 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemma 4 31B (Non-reasoning)
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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GLM-4.7-Flash (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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Which answer was more useful?
Full Comparison
| Metric | Top Pick Go Gemma 4 31B (Non-reasoning) | Z GLM-4.7-Flash (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.14/1M | $0.07/1M |
| Output Cost | $0.40/1M | $0.40/1M |
| Blended (3:1) | $0.21/1M | $0.15/1M |
| Specifications | ||
| Organization | Z AI | |
| Release Date | Apr 2, 2026 | Jan 19, 2026 |
| Performance & Speed | ||
| Throughput | 56.9 tok/s | 79.4 tok/s |
| TTFT | 1024ms | 988ms |
| Latency | 1024ms | 26181ms |
| Composite Indices | ||
| Value Score | 93.7 | 100.0 |
| Reasoning Score | 40.0 | 31.8 |
| Intelligence | 32.3 | 30.1 |
| Coding | 33.9 | 25.9 |
| Standard Benchmarks | ||
| GPQA | 76.3% | 58.1% |
| HLE | 11.5% | 7.1% |
| SciCode | 41.1% | 33.7% |
| LCR | 36.0% | 35.0% |
| IFBench | 53.5% | 60.8% |
| TAU-bench v2 | 65.5% | 98.8% |
| TerminalBench Hard | 30.3% | 22.0% |
Key Takeaways
GLM-4.7-Flash (Reasoning) offers the best value at $0.07/1M, making it ideal for high-volume applications and cost-conscious projects.
Gemma 4 31B (Non-reasoning) has the strongest reasoning profile with a 40.0 reasoning score, combining the available reasoning-heavy benchmarks.
Gemma 4 31B (Non-reasoning) reaches a 33.9 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
Gemma 4 31B (Non-reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
GLM-4.7-Flash (Reasoning)
- Cost-sensitive applications
- High-volume processing