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GPT-5.6 Terra vs Qwen3.8-Flash-Next

GPT-5.6 Terra shows notably better performance in the majority of benchmarks.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-5.6 Terra outperforms in 4 benchmarks (DeepSWE 1.1, GPQA, OSWorld 2.0, SWE-Bench Pro), while Qwen3.8-Flash-Next is better at 2 benchmarks (Agents' Last Exam, Toolathlon). GPT-5.6 Terra shows notably better performance in the majority of benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GPT-5.6 Terra

  • you want the strongest raw capability — it leads on 4 of 6 shared benchmarks

Choose Qwen3.8-Flash-Next

  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
4 of 6
2 of 6
Input price
$2.00 / M
— / M
Output price
$12.00 / M
— / M
Context window
1,050,000
Released
Jul 2026
Aug 2026
License
Proprietary
Qwen Community License 1.0

Performance Benchmarks

Comparative analysis across standard metrics

6 benchmarks

GPT-5.6 Terra outperforms in 4 benchmarks (DeepSWE 1.1, GPQA, OSWorld 2.0, SWE-Bench Pro), while Qwen3.8-Flash-Next is better at 2 benchmarks (Agents' Last Exam, Toolathlon).

GPT-5.6 Terra shows notably better performance in the majority of benchmarks.

Thu Aug 27 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Context Window

Maximum input and output token capacity

Only GPT-5.6 Terra specifies input context (1,050,000 tokens). Only GPT-5.6 Terra specifies output context (128,000 tokens).

OpenAI
GPT-5.6 Terra
Input1,050,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Thu Aug 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.6 Terra and Qwen3.8-Flash-Next support multimodal inputs.

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

GPT-5.6 Terra

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.6 Terra is licensed under a proprietary license, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.

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

GPT-5.6 Terra

Proprietary

Closed source

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

GPT-5.6 Terra was released on 2026-07-09, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 2 months newer than GPT-5.6 Terra.

GPT-5.6 Terra

Jul 9, 2026

1 months ago

Qwen3.8-Flash-Next

Aug 26, 2026

1 days ago

1mo newer

Knowledge Cutoff

When training data ends

GPT-5.6 Terra has a documented knowledge cutoff of 2026-02-16, while Qwen3.8-Flash-Next's cutoff date is not specified.

We can confirm GPT-5.6 Terra's training data extends to 2026-02-16, but cannot make a direct comparison without Qwen3.8-Flash-Next's cutoff date.

GPT-5.6 Terra

Feb 2026

Qwen3.8-Flash-Next

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against GPT-5.6 Terra and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

GPT-5.6 Terra
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about GPT-5.6 Terra vs Qwen3.8-Flash-Next.

Which is better, GPT-5.6 Terra or Qwen3.8-Flash-Next?

GPT-5.6 Terra shows notably better performance in the majority of benchmarks. GPT-5.6 Terra is made by OpenAI and Qwen3.8-Flash-Next 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-5.6 Terra compare to Qwen3.8-Flash-Next in benchmarks?

GPT-5.6 Terra scores Connectors: 100.0%, HealthBench Consensus: 95.1%, Search and Function-Calling: 94.6%, GPQA: 92.9%, Capture-the-Flag Challenges (Internal): 91.8%. Qwen3.8-Flash-Next scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the context window sizes for GPT-5.6 Terra and Qwen3.8-Flash-Next?

GPT-5.6 Terra supports 1.1M tokens and Qwen3.8-Flash-Next supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.6 Terra and Qwen3.8-Flash-Next?

Key differences include licensing (Proprietary vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.6 Terra and Qwen3.8-Flash-Next?

GPT-5.6 Terra is developed by OpenAI and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.