Model Comparison
gpt-oss-120b (high)
vs. Gemini 3.7 Flash (high)
Comparing 2 AI models · 10 benchmarks · OpenAI, Google
Recommended Pick
GoGemini 3.7 Flash (high)9 metric winsStrongest on: Throughput, Latency, Reasoning
Best Value
gpt-oss-120b (high)
100.0 value score
61.7 reasoning / $0.26/1M
Lowest Price
gpt-oss-120b (high)
$0.15/1M input price
Best Reasoning
Gemini 3.7 Flash (high)
66.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
Gemini 3.7 Flash (high)
76.1 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
gpt-oss-120b (high) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
gpt-oss-120b (high) is 5.0x cheaper on input tokens than Gemini 3.7 Flash (high).
Speed gap
Gemini 3.7 Flash (high) generates about 3.2x as many tokens per second as gpt-oss-120b (high).
Reasoning gap
Gemini 3.7 Flash (high) leads gpt-oss-120b (high) by 4.4 points on reasoning.
Coding gap
Gemini 3.7 Flash (high) leads gpt-oss-120b (high) by 45.7 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
gpt-oss-120b (high)
OpenAI
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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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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Which answer was more useful?
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Full Comparison
| Metric | Op gpt-oss-120b (high) | Top Pick Go Gemini 3.7 Flash (high) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.15/1M | $0.75/1M |
| Output Cost | $0.60/1M | $3.75/1M |
| Blended (3:1) | $0.26/1M | $1.50/1M |
| Specifications | ||
| Organization | OpenAI | |
| Release Date | Aug 5, 2025 | Aug 13, 2026 |
| Performance & Speed | ||
| Throughput | 159.3 tok/s | 515.0 tok/s |
| TTFT | 563ms | 6354ms |
| Latency | 13116ms | 6354ms |
| Composite Indices | ||
| Value Score | 100.0 | 18.7 |
| Reasoning Score | 61.7 | 66.1 |
| Intelligence | 24.1 | 56.0 |
| Coding | 30.4 | 76.1 |
| Math | 93.4 | — |
| Standard Benchmarks | ||
| GPQA | 78.2% | 94.5% |
| MMLU Pro | 80.8% | — |
| HLE | 19.6% | 47.9% |
| LiveCodeBench | 87.8% | — |
| AIME 2025 | 93.4% | — |
| SciCode | 38.9% | 56.8% |
| LCR | 51.0% | 80.0% |
| IFBench | 69.0% | — |
| TAU-bench v2 | 65.8% | — |
| TerminalBench Hard | 23.5% | — |
Key Takeaways
gpt-oss-120b (high) offers the best value at $0.15/1M,making it ideal for high-volume applications and cost-conscious projects.
Gemini 3.7 Flash (high) has the strongest reasoning profile with a 66.1 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
gpt-oss-120b (high)
- Cost-sensitive applications
- High-volume processing
Gemini 3.7 Flash (high)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
