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GPT-6.1 Sol vs Qwen3.8-Flash-Next

GPT-6.1 Sol leads the LLM Stats Score 53.9 to 48.3.

OpenAI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

GPT-6.1 Sol leads the overall LLM Stats Score 53.9 to 48.3, ranking #7 overall.

In the 2 individual benchmarks reported for both models, GPT-6.1 Sol wins 2; 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-6.1 Sol

  • overall performance matters — it scores 53.9 and ranks #7 on LLM Stats
  • your work emphasizes agents — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose Qwen3.8-Flash-Next

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GPT-6.1 Sol
OpenAI
Qwen3.8-Flash-Next
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
53.9
#7
48.3
#28
Reasoning
51.7
#8
48.4
#20
Coding
40.5
#10
34.1
#36
Agents
38.6
#8
33.2
#29
Cost, coverage & limits
Benchmark wins
2 of 2
0 of 2
Input price
$2.00 / M
— / M
Output price
$10.00 / M
— / M
Context window
1,050,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

4 shared
Index
GPT-6.1 Sol
Qwen3.8-Flash-Next
Math
34.9#46
32.7#60
Vision
36.2#10
33.7#17
Tool use
22.7#45
29.1#13
Multimodal
36.0#10
35.3#12
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

17 reported for GPT-6.1 Sol · 22 for Qwen3.8-Flash-Next

2 shared

GPT-6.1 Sol outperforms in 2 benchmarks (DeepSWE 1.1, OSWorld 2.0), while Qwen3.8-Flash-Next is better at 0 benchmarks.

GPT-6.1 Sol significantly outperforms across most benchmarks.

Mon Oct 12 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-6.1 Sol specifies input context (1,050,000 tokens). Only GPT-6.1 Sol specifies output context (128,000 tokens).

OpenAI
GPT-6.1 Sol
Input1,050,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Mon Oct 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GPT-6.1 Sol and Qwen3.8-Flash-Next support multimodal inputs.

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

GPT-6.1 Sol

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-6.1 Sol 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-6.1 Sol

Proprietary

Closed source

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

GPT-6.1 Sol was released on 2026-09-29, while Qwen3.8-Flash-Next was released on 2026-08-26.

GPT-6.1 Sol is 1 month newer than Qwen3.8-Flash-Next.

GPT-6.1 Sol

Sep 29, 2026

1 weeks ago

1mo newer
Qwen3.8-Flash-Next

Aug 26, 2026

1 months ago

Knowledge Cutoff

When training data ends

GPT-6.1 Sol has a documented knowledge cutoff of 2026-04-30, while Qwen3.8-Flash-Next's cutoff date is not specified.

We can confirm GPT-6.1 Sol's training data extends to 2026-04-30, but cannot make a direct comparison without Qwen3.8-Flash-Next's cutoff date.

GPT-6.1 Sol

Apr 2026

Qwen3.8-Flash-Next

—

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GPT-6.1 Sol and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

GPT-6.1 Sol
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about GPT-6.1 Sol vs Qwen3.8-Flash-Next.

Which is better, GPT-6.1 Sol or Qwen3.8-Flash-Next?

GPT-6.1 Sol leads the LLM Stats Score 53.9 to 48.3. GPT-6.1 Sol 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-6.1 Sol compare to Qwen3.8-Flash-Next in benchmarks?

GPT-6.1 Sol scores FrontierMath Tier 4 (v2): 100.0%, HealthBench Consensus: 96.0%, MMMU-Pro: 86.0%, DeepSWE 1.1: 75.2%, SimpleQA Verified: 73.9%. 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-6.1 Sol and Qwen3.8-Flash-Next?

GPT-6.1 Sol 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-6.1 Sol and Qwen3.8-Flash-Next?

Key differences include LLM Stats Score (53.9 vs 48.3), licensing (Proprietary vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-6.1 Sol and Qwen3.8-Flash-Next?

GPT-6.1 Sol is developed by OpenAI and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.

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