Model Comparison
Gemini 3.7 Flash (high)
vs. M3
Comparing 2 AI models · 0 benchmarks · Google, MiniMax
Recommended Pick
Strongest on: Throughput, Latency, Reasoning
Best Value
M3
100.0 value score
45.4 reasoning / $0.52/1M
Lowest Price
M3
$0.30/1M input price
Best Reasoning
Gemini 3.7 Flash (high)
56.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemini 3.7 Flash (high)
76.1 coding index
Differences That Matter
Best value
M3 has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
M3 is 2.5x cheaper on input tokens than Gemini 3.7 Flash (high).
Speed gap
Gemini 3.7 Flash (high) generates about 2.7x as many tokens per second as M3.
Reasoning gap
Gemini 3.7 Flash (high) leads M3 by 10.6 points on reasoning.
Coding gap
Gemini 3.7 Flash (high) leads M3 by 17.5 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemini 3.7 Flash (high)
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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M3
MiniMax
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 | Top Pick Go Gemini 3.7 Flash (high) | Mi M3 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.75/1M | $0.30/1M |
| Output Cost | $3.75/1M | $1.20/1M |
| Blended (3:1) | $1.50/1M | $0.52/1M |
| Specifications | ||
| Organization | MiniMax | |
| Release Date | Aug 13, 2026 | Jun 1, 2026 |
| Performance & Speed | ||
| Throughput | 338.2 tok/s | 126.1 tok/s |
| TTFT | 11970ms | 1340ms |
| Latency | 11970ms | 17200ms |
| Composite Indices | ||
| Value Score | 43.2 | 100.0 |
| Reasoning Score | 56.0 | 45.4 |
| Intelligence | 56.0 | 45.4 |
| Coding | 76.1 | 58.6 |
Key Takeaways
M3 offers the best value at $0.30/1M,making it ideal for high-volume applications and cost-conscious projects.
Gemini 3.7 Flash (high) has the strongest reasoning profile with a 56.0 reasoning score,combining the available reasoning-heavy benchmarks.
Gemini 3.7 Flash (high) reaches a 76.1 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
Gemini 3.7 Flash (high)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
M3
- Cost-sensitive applications
- High-volume processing