Model Comparison
gpt-oss-120b (low)
vs. Qwen3.5 27B (Reasoning)
Comparing 2 AI models · 10 benchmarks · OpenAI, Alibaba
Recommended Pick
Al Qwen3.5 27B (Reasoning) 10 metric wins Strongest on: Reasoning, Intelligence, Coding
Best Value
gpt-oss-120b (low)
100.0 value score
46.1 reasoning / $0.26/1M
Lowest Price
gpt-oss-120b (low)
$0.15/1M input price
Best Reasoning
Qwen3.5 27B (Reasoning)
50.0 reasoning score
Blends available reasoning benchmarks
Best for Coding
Qwen3.5 27B (Reasoning)
34.9 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
gpt-oss-120b (low) has the strongest quality-to-price mix at 100.0 out of 100 value points.
Price gap
gpt-oss-120b (low) is 2.0x cheaper on input tokens than Qwen3.5 27B (Reasoning).
Speed gap
gpt-oss-120b (low) generates about 4.4x as many tokens per second as Qwen3.5 27B (Reasoning).
Reasoning gap
Qwen3.5 27B (Reasoning) leads gpt-oss-120b (low) by 4.0 points on reasoning.
Coding gap
Qwen3.5 27B (Reasoning) leads gpt-oss-120b (low) by 19.4 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 (low)
OpenAI
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Qwen3.5 27B (Reasoning)
Alibaba
TTFT
—
Time
—
tok/s
—
Tokens
—
Cost
—
Which answer was more useful?
Full Comparison
| Metric | Op gpt-oss-120b (low) | Top Pick Al Qwen3.5 27B (Reasoning) |
|---|---|---|
| Pricing per 1M tokens | ||
| Input Cost | $0.15/1M | $0.30/1M |
| Output Cost | $0.60/1M | $2.40/1M |
| Blended (3:1) | $0.26/1M | $0.82/1M |
| Specifications | ||
| Organization | OpenAI | Alibaba |
| Release Date | Aug 5, 2025 | Feb 24, 2026 |
| Performance & Speed | ||
| Throughput | 363.8 tok/s | 83.4 tok/s |
| TTFT | 542ms | 1388ms |
| Latency | 6039ms | 25359ms |
| Composite Indices | ||
| Value Score | 100.0 | 34.6 |
| Reasoning Score | 46.1 | 50.0 |
| Intelligence | 24.5 | 42.1 |
| Coding | 15.5 | 34.9 |
| Math | 66.7 | — |
| Standard Benchmarks | ||
| GPQA | 67.2% | 85.8% |
| MMLU Pro | 77.5% | — |
| HLE | 5.2% | 22.2% |
| LiveCodeBench | 70.7% | — |
| AIME 2025 | 66.7% | — |
| SciCode | 36.0% | 39.5% |
| LCR | 43.7% | 67.3% |
| IFBench | 58.3% | 75.6% |
| TAU-bench v2 | 45.0% | 93.9% |
| TerminalBench Hard | 5.3% | 32.6% |
Key Takeaways
gpt-oss-120b (low) offers the best value at $0.15/1M, making it ideal for high-volume applications and cost-conscious projects.
Qwen3.5 27B (Reasoning) has the strongest reasoning profile with a 50.0 reasoning score, combining the available reasoning-heavy benchmarks.
Qwen3.5 27B (Reasoning) reaches a 34.9 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
gpt-oss-120b (low)
- Cost-sensitive applications
- High-volume processing
Qwen3.5 27B (Reasoning)
- Complex reasoning tasks
- Research & analysis
- Code generation
- Software development
Recommended Comparisons
Popular alternatives
