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

GPT-5.6 Terra and Qwen3.8-Flash-Next are closely matched at 51.0 and 49.2 on the LLM Stats Score.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-5.6 Terra and Qwen3.8-Flash-Next are closely matched on the overall LLM Stats Score at 51.0 and 49.2.

In the 6 individual benchmarks reported for both models, GPT-5.6 Terra wins 4; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GPT-5.6 Terra

  • you value its reported benchmark strengths — it wins 4 of 6 exact shared results

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.

Core performance indexes
51.0
#14
49.2
#18
49.3
#16
48.9
#18
42.4
#7
36.2
#22
38.1
#10
35.0
#18
Cost, coverage & limits
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

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
GPT-5.6 Terra
Qwen3.8-Flash-Next
32.4#58
32.8#54
29.9#29
34.1#13
30.2#17
30.9#11
30.7#28
36.1#9
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

45 reported for GPT-5.6 Terra · 22 for Qwen3.8-Flash-Next

6 shared

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 Sep 10 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground 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 Sep 10 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

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

2 months ago

Qwen3.8-Flash-Next

Aug 26, 2026

2 weeks 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 and Qwen3.8-Flash-Next are closely matched on the LLM Stats Score at 51.0 and 49.2. 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 capability indexes, individual benchmarks, pricing, and limits 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 LLM Stats Score (51.0 vs 49.2), 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.