Model Comparison
gpt-oss-20B (low)
vs. M2.7
Comparing 2 AI models · 10 benchmarks · OpenAI, MiniMax
Recommended Pick
Mi M2.7 9 metric wins Strongest on: Reasoning, Intelligence, GPQA
Best Value
gpt-oss-20B (low)
100.0 value score
41.0 reasoning / $0.10/1M
Lowest Price
gpt-oss-20B (low)
$0.06/1M input price
Best Reasoning
M2.7
51.2 reasoning score
Blends available reasoning benchmarks
Best for Coding
M2.7
52.6 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
gpt-oss-20B (low) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
gpt-oss-20B (low) is 5.0x cheaper on input tokens than M2.7.
Speed gap
gpt-oss-20B (low) generates about 5.3x as many tokens per second as M2.7.
Reasoning gap
M2.7 leads gpt-oss-20B (low) by 10.2 points on reasoning.
Top-pick rationale
M2.7 wins 9 measurable categories, including Reasoning, Intelligence, GPQA, HLE.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
gpt-oss-20B (low)
OpenAI
TTFT
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Time
—
tok/s
—
Tokens
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Cost
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M2.7
MiniMax
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
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Full Comparison
| Metric | Op gpt-oss-20B (low) | Top Pick Mi M2.7 |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.06/1M | $0.30/1M |
| Output Cost | $0.20/1M | $1.20/1M |
| Blended (3:1) | $0.10/1M | $0.52/1M |
| Specifications | ||
| Organization | OpenAI | MiniMax |
| Release Date | Aug 5, 2025 | Mar 18, 2026 |
| Performance & Speed | ||
| Throughput | 254.6 tok/s | 47.6 tok/s |
| TTFT | 519ms | 1678ms |
| Latency | 8375ms | 53367ms |
| Composite Indices | ||
| Value Score | 100.0 | 22.6 |
| Reasoning Score | 41.0 | 51.2 |
| Intelligence | 14.3 | 38.1 |
| Coding | — | 52.6 |
| Math | 62.3 | — |
| Standard Benchmarks | ||
| GPQA | 61.1% | 87.4% |
| MMLU Pro | 71.8% | — |
| HLE | 5.1% | 28.1% |
| LiveCodeBench | 65.2% | — |
| AIME 2025 | 62.3% | — |
| SciCode | 34.0% | 47.0% |
| LCR | 31.0% | 68.7% |
| IFBench | 57.8% | 75.7% |
| TAU-bench v2 | 50.3% | 84.8% |
| TerminalBench Hard | 4.5% | 39.4% |
Key Takeaways
gpt-oss-20B (low) offers the best value at $0.06/1M, making it ideal for high-volume applications and cost-conscious projects.
M2.7 has the strongest reasoning profile with a 51.2 reasoning score, combining the available reasoning-heavy benchmarks.
M2.7 reaches a 52.6 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
gpt-oss-20B (low)
- Cost-sensitive applications
- High-volume processing
M2.7
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
