| Signal | GPT-5.1-Codex-Mini | Delta | Qwen3.5-9B |
|---|---|---|---|
Capabilities | 83 | -- | |
Benchmarks | 88 | +22 | |
Pricing | 98 | -2 | |
Context window size | 89 | +3 | |
Recency | 100 | -- | |
Output Capacity | 85 | +3 | |
| Overall Result | 3 wins | of 6 | 1 wins |
Score History
87
current score
GPT-5.1-Codex-Mini
right now
66.5
current score
OpenAI
Alibaba
Qwen3.5-9B saves you $113.50/month
That's $1362.00/year compared to GPT-5.1-Codex-Mini at your current usage level of 100K calls/month.
| Metric | GPT-5.1-Codex-Mini | Qwen3.5-9B | Winner |
|---|---|---|---|
| Overall Score | 87 | 67 | GPT-5.1-Codex-Mini |
| Rank | #20 | #122 | GPT-5.1-Codex-Mini |
| Quality Rank | #20 | #122 | GPT-5.1-Codex-Mini |
| Adoption Rank | #20 | #122 | GPT-5.1-Codex-Mini |
| Parameters | -- | 9B | -- |
| Context Window | 400K | 262K | GPT-5.1-Codex-Mini |
| Pricing | $0.25/$2.00/M | $0.04/$0.15/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 83 | GPT-5.1-Codex-Mini |
| Benchmarks | 88 | 66 | GPT-5.1-Codex-Mini |
| Pricing | 98 | 100 | Qwen3.5-9B |
| Context window size | 89 | 86 | GPT-5.1-Codex-Mini |
| Recency | 100 | 100 | GPT-5.1-Codex-Mini |
| Output Capacity | 85 | 82 | GPT-5.1-Codex-Mini |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 87/100 (rank #20), placing it in the top 93% of all 290 models tracked.
Scores 67/100 (rank #122), placing it in the top 58% of all 290 models tracked.
GPT-5.1-Codex-Mini has a 21-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Qwen3.5-9B offers 92% better value per quality point. At 1M tokens/day, you'd spend $2.85/month with Qwen3.5-9B vs $33.75/month with GPT-5.1-Codex-Mini - a $30.90 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Qwen3.5-9B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (400K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.15/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (87/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
GPT-5.1-Codex-Mini clearly outperforms Qwen3.5-9B with a significant 20.5-point lead. For most general use cases, GPT-5.1-Codex-Mini is the stronger choice. However, Qwen3.5-9B may still excel in niche scenarios.
Best for Quality
GPT-5.1-Codex-Mini
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3.5-9B
92% lower pricing; better value at scale
Best for Reliability
GPT-5.1-Codex-Mini
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.1-Codex-Mini
Stronger community support and better developer experience
Best for Production
GPT-5.1-Codex-Mini
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-5.1-Codex-Mini | Qwen3.5-9B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Alibaba
Qwen3.5-9B saves you $2.60/month
That's 91% cheaper than GPT-5.1-Codex-Mini at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | GPT-5.1-Codex-Mini | Qwen3.5-9B |
|---|---|---|
| Context Window | 400K | 262K |
| Max Output Tokens | 128,000 | 81,920 |
| Open Source | No | Yes |
| Created | Nov 13, 2025 | Mar 10, 2026 |