GPT-5.2-Codex vs Qwen3.8 Max Prime
| Signal | GPT-5.2-Codex | Delta | Qwen3.8 Max Prime |
|---|---|---|---|
Capabilities | 100 | +17 | |
Benchmarks | 88 | +88 | |
Pricing | 86 | -2 | |
Context window size | 89 | -6 | |
Recency | 79 | -21 | |
Output Capacity | 82 | 0 | |
| Overall Result | 2 wins | of 6 | 4 wins |
Score History
90.5
current score
GPT-5.2-Codex
right now
40
current score
GPT-5.2-Codex
OpenAI
Qwen3.8 Max Prime
Alibaba
GPT-5.2-Codex saves you $125.00/month
That's $1500.00/year compared to Qwen3.8 Max Prime at your current usage level of 100K calls/month.
| Metric | GPT-5.2-Codex | Qwen3.8 Max Prime | Winner |
|---|---|---|---|
| Overall Score | 91 | 40 | GPT-5.2-Codex |
| Rank | #19 | #217 | GPT-5.2-Codex |
| Quality Rank | #19 | #217 | GPT-5.2-Codex |
| Adoption Rank | #19 | #217 | GPT-5.2-Codex |
| Parameters | -- | -- | -- |
| Context Window | 400K | 1000K | Qwen3.8 Max Prime |
| Pricing | $1.75/$14.00/M | $4.00/$12.00/M | -- |
| Signal Scores | |||
| Capabilities | 100 | 83 | GPT-5.2-Codex |
| Benchmarks | 88 | -- | GPT-5.2-Codex |
| Pricing | 86 | 88 | Qwen3.8 Max Prime |
| Context window size | 89 | 95 | Qwen3.8 Max Prime |
| Recency | 79 | 100 | Qwen3.8 Max Prime |
| Output Capacity | 82 | 82 | Qwen3.8 Max Prime |
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 91/100 (rank #19), placing it in the top 94% of all 290 models tracked.
Scores 40/100 (rank #217), placing it in the top 26% of all 290 models tracked.
GPT-5.2-Codex has a 51-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose GPT-5.2-Codex when you need:
- Step-by-step reasoning and chain-of-thought problem solving
Choose Qwen3.8 Max Prime when you need:
- Processing long documents or large codebases (1000K token context)
- Step-by-step reasoning and chain-of-thought problem solving
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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. Qwen3.8 Max Prime also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($12.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (91/100) 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-5.2-Codex clearly outperforms Qwen3.8 Max Prime with a significant 50.5-point lead. For most general use cases, GPT-5.2-Codex is the stronger choice. However, Qwen3.8 Max Prime may still excel in niche scenarios.
By Use Case
Best for Quality
GPT-5.2-Codex
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-5.2-Codex
2% lower pricing; better value at scale
Best for Reliability
GPT-5.2-Codex
Higher uptime and faster response speeds
Best for Prototyping
GPT-5.2-Codex
Stronger community support and better developer experience
Best for Production
GPT-5.2-Codex
Wider enterprise adoption and proven at scale
by OpenAI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 2% lower pricing; better value at scale
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | GPT-5.2-Codex | Qwen3.8 Max Prime |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
GPT-5.2-Codex
OpenAI
Qwen3.8 Max Prime
Alibaba
GPT-5.2-Codex saves you $1.65/month
That's 8% cheaper than Qwen3.8 Max Prime 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-5.2-Codex | Qwen3.8 Max Prime |
|---|---|---|
| Context Window | 400K | 1M |
| Max Output Tokens | 128,000 | 131,072 |
| Open Source | No | No |
| Created | Jan 14, 2026 | Sep 23, 2026 |