Model Comparison
Gemini 2.5 Flash-Lite (Non-reasoning)
vs. gpt-oss-120b (low)
Comparing 2 AI models · 12 benchmarks · Google, OpenAI
Recommended Pick
Op gpt-oss-120b (low) 15 metric wins Strongest on: Throughput, Reasoning, Intelligence
Best Value
Gemini 2.5 Flash-Lite (Non-reasoning)
100.0 value score
39.6 reasoning / $0.18/1M
Lowest Price
Gemini 2.5 Flash-Lite (Non-reasoning)
$0.10/1M input price
Best Reasoning
gpt-oss-120b (low)
46.1 reasoning score
Blends available reasoning benchmarks
Best for Coding
gpt-oss-120b (low)
15.5 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
Gemini 2.5 Flash-Lite (Non-reasoning) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
Gemini 2.5 Flash-Lite (Non-reasoning) is 1.5x cheaper on input tokens than gpt-oss-120b (low).
Speed gap
gpt-oss-120b (low) generates about 1.5x as many tokens per second as Gemini 2.5 Flash-Lite (Non-reasoning).
Reasoning gap
gpt-oss-120b (low) leads Gemini 2.5 Flash-Lite (Non-reasoning) by 6.5 points on reasoning.
Coding gap
gpt-oss-120b (low) leads Gemini 2.5 Flash-Lite (Non-reasoning) by 8.1 points on coding.
Response Face-Off
Run one prompt through the selected models and compare response quality with live speed and cost context.
Gemini 2.5 Flash-Lite (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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gpt-oss-120b (low)
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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Which answer was more useful?
Full Comparison
| Metric | Go Gemini 2.5 Flash-Lite (Non-reasoning) | Top Pick Op gpt-oss-120b (low) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.10/1M | $0.15/1M |
| Output Cost | $0.40/1M | $0.60/1M |
| Blended (3:1) | $0.18/1M | $0.26/1M |
| Specifications | ||
| Organization | OpenAI | |
| Release Date | Jun 17, 2025 | Aug 5, 2025 |
| Performance & Speed | ||
| Throughput | 241.9 tok/s | 358.3 tok/s |
| TTFT | 352ms | 498ms |
| Latency | 352ms | 6080ms |
| Composite Indices | ||
| Value Score | 100.0 | 77.6 |
| Reasoning Score | 39.6 | 46.1 |
| Intelligence | 12.7 | 24.5 |
| Coding | 7.4 | 15.5 |
| Math | 35.3 | 66.7 |
| Standard Benchmarks | ||
| GPQA | 47.4% | 67.2% |
| MMLU Pro | 72.4% | 77.5% |
| HLE | 3.7% | 5.2% |
| LiveCodeBench | 40.0% | 70.7% |
| MATH 500 | 92.6% | — |
| AIME 2025 | 35.3% | 66.7% |
| AIME (Original) | 50.0% | — |
| SciCode | 17.7% | 36.0% |
| LCR | 31.3% | 43.7% |
| IFBench | 31.5% | 58.3% |
| TAU-bench v2 | 19.0% | 45.0% |
| TerminalBench Hard | 2.3% | 5.3% |
Key Takeaways
Gemini 2.5 Flash-Lite (Non-reasoning) offers the best value at $0.10/1M, making it ideal for high-volume applications and cost-conscious projects.
gpt-oss-120b (low) has the strongest reasoning profile with a 46.1 reasoning score, combining the available reasoning-heavy benchmarks.
gpt-oss-120b (low) reaches a 15.5 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 2.5 Flash-Lite (Non-reasoning)
- Cost-sensitive applications
- High-volume processing
gpt-oss-120b (low)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
