Model Comparison

GPT-5.1 Codex vs Qwen3.5-397B-A17BWhich is better in 2026?

Both models are evenly matched across the benchmarks. Qwen3.5-397B-A17B is 2.5x cheaper per token.

Verdict: GPT-5.1 Codex vs Qwen3.5-397B-A17B — which is better?

GPT-5.1 Codex (by OpenAI) and Qwen3.5-397B-A17B (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

GPT-5.1 Codex outperforms in 1 benchmarks (Terminal-Bench 2.0), while Qwen3.5-397B-A17B is better at 1 benchmark (SWE-Bench Verified). Both models are evenly matched across the benchmarks.

On price, Qwen3.5-397B-A17B is roughly 2.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-5.1 Codex also accepts a larger context window (400,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GPT-5.1 Codex if…

  • you process long inputs — it offers a 400,000 token context window

Choose Qwen3.5-397B-A17B if…

  • cost matters — it's about 2.5x cheaper per token
  • you want the most recent training data — it shipped Feb 2026
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GPT-5.1 Codex outperforms in 1 benchmarks (Terminal-Bench 2.0), while Qwen3.5-397B-A17B is better at 1 benchmark (SWE-Bench Verified).

Both models are evenly matched across the benchmarks.

Sat Jul 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3.5-397B-A17B costs less

For input processing, GPT-5.1 Codex ($1.25/1M tokens) is 2.1x more expensive than Qwen3.5-397B-A17B ($0.60/1M tokens).

For output processing, GPT-5.1 Codex ($10.00/1M tokens) is 2.8x more expensive than Qwen3.5-397B-A17B ($3.60/1M tokens).

In conclusion, GPT-5.1 Codex is more expensive than Qwen3.5-397B-A17B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Jul 25 2026 • llm-stats.com
OpenAI
GPT-5.1 Codex
Input tokens$1.25
Output tokens$10.00
Best providerOpenAI
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input tokens$0.60
Output tokens$3.60
Best providerNovita
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

GPT-5.1 Codex accepts 400,000 input tokens compared to Qwen3.5-397B-A17B's 262,144 tokens. GPT-5.1 Codex can generate longer responses up to 128,000 tokens, while Qwen3.5-397B-A17B is limited to 64,000 tokens.

OpenAI
GPT-5.1 Codex
Input400,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B
Input262,144 tokens
Output64,000 tokens
Sat Jul 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.1 Codex and Qwen3.5-397B-A17B support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GPT-5.1 Codex

Text
Images
Audio
Video

Qwen3.5-397B-A17B

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.1 Codex is licensed under a proprietary license, while Qwen3.5-397B-A17B uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

GPT-5.1 Codex

Proprietary

Closed source

Qwen3.5-397B-A17B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GPT-5.1 Codex was released on 2025-11-19, while Qwen3.5-397B-A17B was released on 2026-02-16.

Qwen3.5-397B-A17B is 3 months newer than GPT-5.1 Codex.

GPT-5.1 Codex

Nov 19, 2025

8 months ago

Qwen3.5-397B-A17B

Feb 16, 2026

5 months ago

2mo newer

Knowledge Cutoff

When training data ends

GPT-5.1 Codex has a documented knowledge cutoff of 2024-09-30, while Qwen3.5-397B-A17B's cutoff date is not specified.

We can confirm GPT-5.1 Codex's training data extends to 2024-09-30, but cannot make a direct comparison without Qwen3.5-397B-A17B's cutoff date.

GPT-5.1 Codex

Sep 2024

Qwen3.5-397B-A17B

Provider Availability

GPT-5.1 Codex is available from OpenAI. Qwen3.5-397B-A17B is available from Novita.

GPT-5.1 Codex

openai logo
OpenAI
Input Price:Input: $1.25/1MOutput Price:Output: $10.00/1M

Qwen3.5-397B-A17B

novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $3.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (400,000 tokens)
Higher Terminal-Bench 2.0 score (52.8% vs 52.5%)
Alibaba Cloud / Qwen Team

Qwen3.5-397B-A17B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens
Has open weights
Higher SWE-Bench Verified score (76.4% vs 73.7%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against GPT-5.1 Codex and Qwen3.5-397B-A17B side-by-side, then vote on the output you prefer.

GPT-5.1 Codex
✓ Preferred
Qwen3.5-397B-A17B
Open in Playground
AI Model Comparison Table
Feature
OpenAI
GPT-5.1 Codex
Alibaba Cloud / Qwen Team
Qwen3.5-397B-A17B

FAQ

Common questions about GPT-5.1 Codex vs Qwen3.5-397B-A17B.

Which is better, GPT-5.1 Codex or Qwen3.5-397B-A17B?

Both models are evenly matched across the benchmarks. GPT-5.1 Codex is made by OpenAI and Qwen3.5-397B-A17B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-5.1 Codex compare to Qwen3.5-397B-A17B in benchmarks?

GPT-5.1 Codex scores SWE-Bench Verified: 73.7%, SWE-Lancer: 66.3%, Terminal-Bench 2.0: 52.8%. Qwen3.5-397B-A17B scores MMLU-Redux: 94.9%, HMMT 2025: 94.8%, C-Eval: 93.0%, HMMT25: 92.7%, IFEval: 92.6%.

Is GPT-5.1 Codex cheaper than Qwen3.5-397B-A17B?

Qwen3.5-397B-A17B is 2.1x cheaper for input tokens. GPT-5.1 Codex costs $1.25/M input and $10.00/M output via openai. Qwen3.5-397B-A17B costs $0.60/M input and $3.60/M output via novita.

What are the context window sizes for GPT-5.1 Codex and Qwen3.5-397B-A17B?

GPT-5.1 Codex supports 400K tokens and Qwen3.5-397B-A17B supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.1 Codex and Qwen3.5-397B-A17B?

Key differences include context window (400K vs 262K), input pricing ($1.25 vs $0.60/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.1 Codex and Qwen3.5-397B-A17B?

GPT-5.1 Codex is developed by OpenAI and Qwen3.5-397B-A17B is developed by Alibaba Cloud / Qwen Team.