Model Comparison

Qwen3.7-Plus vs Qwen3.6 PlusWhich is better in 2026?

Qwen3.7-Plus shows notably better performance in the majority of benchmarks. Qwen3.7-Plus is 2.0x cheaper per token.

Verdict: Qwen3.7-Plus vs Qwen3.6 Plus — which is better?

Qwen3.7-Plus (by Alibaba Cloud / Qwen Team) and Qwen3.6 Plus (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.

Qwen3.7-Plus outperforms in 33 benchmarks (CharXiv-R, Claw-Eval, DeepPlanning, ERQA, Global PIQA, HMMT Feb 26, Humanity's Last Exam, IFBench, IFEval, IMO-AnswerBench, LiveCodeBench v6, MathVision, MAXIFE, MCP-Mark, MLVU, MMLU-ProX, MMMU-Pro, NL2Repo, NOVA-63, OmniDocBench 1.5, OSWorld-Verified, PolyMATH, RealWorldQA, ScreenSpot Pro, SimpleVQA, SkillsBench, SWE-bench Multilingual, SWE-Bench Pro, Terminal-Bench 2.0, Video-MME, VideoMMMU, VITA-Bench, WMT24++), while Qwen3.6 Plus is better at 9 benchmarks (Finance Agent v2, GDPval-AA, GPQA, Include, MCP Atlas, MMMLU, ODinW, SuperGPQA, SWE-Bench Verified). Qwen3.7-Plus shows notably better performance in the majority of benchmarks.

On price, Qwen3.7-Plus is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose Qwen3.7-Plus if…

  • you want the strongest raw capability — it leads on 33 of 44 shared benchmarks
  • cost matters — it's about 2.0x cheaper per token
  • you want the most recent training data — it shipped May 2026

Choose Qwen3.6 Plus if…

  • you want predictable pricing at $0.50/M input and $3.00/M output

Performance Benchmarks

Comparative analysis across standard metrics

44 benchmarks

Qwen3.7-Plus outperforms in 33 benchmarks (CharXiv-R, Claw-Eval, DeepPlanning, ERQA, Global PIQA, HMMT Feb 26, Humanity's Last Exam, IFBench, IFEval, IMO-AnswerBench, LiveCodeBench v6, MathVision, MAXIFE, MCP-Mark, MLVU, MMLU-ProX, MMMU-Pro, NL2Repo, NOVA-63, OmniDocBench 1.5, OSWorld-Verified, PolyMATH, RealWorldQA, ScreenSpot Pro, SimpleVQA, SkillsBench, SWE-bench Multilingual, SWE-Bench Pro, Terminal-Bench 2.0, Video-MME, VideoMMMU, VITA-Bench, WMT24++), while Qwen3.6 Plus is better at 9 benchmarks (Finance Agent v2, GDPval-AA, GPQA, Include, MCP Atlas, MMMLU, ODinW, SuperGPQA, SWE-Bench Verified).

Qwen3.7-Plus shows notably better performance in the majority of benchmarks.

Fri Jul 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3.7-Plus costs less

For input processing, Qwen3.7-Plus ($0.32/1M tokens) is 1.6x cheaper than Qwen3.6 Plus ($0.50/1M tokens).

For output processing, Qwen3.7-Plus ($1.28/1M tokens) is 2.3x cheaper than Qwen3.6 Plus ($3.00/1M tokens).

In conclusion, Qwen3.6 Plus is more expensive than Qwen3.7-Plus.*

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

Lowest available price from all providers
Fri Jul 17 2026 • llm-stats.com
Alibaba Cloud / Qwen Team
Qwen3.7-Plus
Input tokens$0.32
Output tokens$1.28
Best providerTogether
Alibaba Cloud / Qwen Team
Qwen3.6 Plus
Input tokens$0.50
Output tokens$3.00
Best providerTogether
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,000,000 tokens. Both models can generate responses up to 65,536 tokens.

Alibaba Cloud / Qwen Team
Qwen3.7-Plus
Input1,000,000 tokens
Output65,536 tokens
Alibaba Cloud / Qwen Team
Qwen3.6 Plus
Input1,000,000 tokens
Output65,536 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Qwen3.7-Plus and Qwen3.6 Plus support multimodal inputs.

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

Qwen3.7-Plus

Text
Images
Audio
Video

Qwen3.6 Plus

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Qwen3.7-Plus

Proprietary

Closed source

Qwen3.6 Plus

Proprietary

Closed source

Release Timeline

When each model was launched

Qwen3.7-Plus was released on 2026-05-31, while Qwen3.6 Plus was released on 2026-03-31.

Qwen3.7-Plus is 2 months newer than Qwen3.6 Plus.

Qwen3.7-Plus

May 31, 2026

1 months ago

2mo newer
Qwen3.6 Plus

Mar 31, 2026

3 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Qwen3.7-Plus is available from Together. Qwen3.6 Plus is available from Together.

Qwen3.7-Plus

together logo
Together
Input Price:Input: $0.32/1MOutput Price:Output: $1.28/1M

Qwen3.6 Plus

together logo
Together
Input Price:Input: $0.50/1MOutput Price:Output: $3.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Alibaba Cloud / Qwen Team

Qwen3.7-Plus

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens
Higher CharXiv-R score (85.9% vs 81.5%)
Higher Claw-Eval score (62.7% vs 58.7%)
Higher DeepPlanning score (62.3% vs 41.5%)
Higher ERQA score (69.8% vs 65.7%)
Higher Global PIQA score (90.3% vs 89.8%)
Higher HMMT Feb 26 score (92.9% vs 87.8%)
Higher Humanity's Last Exam score (34.7% vs 28.8%)
Higher IFBench score (79.1% vs 74.2%)
Higher IFEval score (94.6% vs 94.3%)
Higher IMO-AnswerBench score (86.0% vs 83.8%)
Higher LiveCodeBench v6 score (89.6% vs 87.1%)
Higher MathVision score (90.3% vs 88.0%)
Higher MAXIFE score (88.8% vs 88.2%)
Higher MCP-Mark score (58.7% vs 48.2%)
Higher MLVU score (87.4% vs 86.7%)
Higher MMLU-ProX score (85.4% vs 84.7%)
Higher MMMU-Pro score (79.0% vs 78.8%)
Higher NL2Repo score (41.1% vs 37.9%)
Higher NOVA-63 score (58.8% vs 57.9%)
Higher OmniDocBench 1.5 score (91.4% vs 91.2%)
Higher OSWorld-Verified score (73.3% vs 62.5%)
Higher PolyMATH score (84.0% vs 77.4%)
Higher RealWorldQA score (86.9% vs 85.4%)
Higher ScreenSpot Pro score (79.0% vs 68.2%)
Higher SimpleVQA score (81.7% vs 67.3%)
Higher SkillsBench score (54.9% vs 45.7%)
Higher SWE-bench Multilingual score (75.8% vs 73.8%)
Higher SWE-Bench Pro score (57.6% vs 56.6%)
Higher Terminal-Bench 2.0 score (70.3% vs 61.6%)
Higher Video-MME score (88.0% vs 84.2%)
Higher VideoMMMU score (85.4% vs 84.0%)
Higher VITA-Bench score (45.6% vs 44.3%)
Higher WMT24++ score (84.6% vs 84.3%)
Alibaba Cloud / Qwen Team

Qwen3.6 Plus

View details

Alibaba Cloud / Qwen Team

Higher Finance Agent v2 score (40.8% vs 38.2%)
Higher GDPval-AA score (38.7% vs 31.5%)
Higher GPQA score (90.4% vs 90.3%)
Higher Include score (85.1% vs 83.0%)
Higher MCP Atlas score (74.1% vs 73.2%)
Higher MMMLU score (89.5% vs 89.0%)
Higher ODinW score (51.8% vs 51.1%)
Higher SuperGPQA score (71.6% vs 71.4%)
Higher SWE-Bench Verified score (78.8% vs 77.7%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Qwen3.7-Plus and Qwen3.6 Plus side-by-side, then vote on the output you prefer.

Qwen3.7-Plus
✓ Preferred
Qwen3.6 Plus
Open in Playground
AI Model Comparison Table
Feature
Alibaba Cloud / Qwen Team
Qwen3.7-Plus
Alibaba Cloud / Qwen Team
Qwen3.6 Plus

FAQ

Common questions about Qwen3.7-Plus vs Qwen3.6 Plus.

Which is better, Qwen3.7-Plus or Qwen3.6 Plus?

Qwen3.7-Plus shows notably better performance in the majority of benchmarks. Qwen3.7-Plus is made by Alibaba Cloud / Qwen Team and Qwen3.6 Plus 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 Qwen3.7-Plus compare to Qwen3.6 Plus in benchmarks?

Qwen3.7-Plus scores IFEval: 94.6%, MMLU-Redux: 94.5%, HMMT Feb 26: 92.9%, MRCR v2: 91.7%, OmniDocBench 1.5: 91.4%. Qwen3.6 Plus scores CountBench: 97.6%, V*: 96.9%, HMMT 2025: 96.7%, AIME 2026: 95.3%, HMMT25: 94.6%.

Is Qwen3.7-Plus cheaper than Qwen3.6 Plus?

Qwen3.7-Plus is 1.6x cheaper for input tokens. Qwen3.7-Plus costs $0.32/M input and $1.28/M output via together. Qwen3.6 Plus costs $0.50/M input and $3.00/M output via together.

What are the context window sizes for Qwen3.7-Plus and Qwen3.6 Plus?

Qwen3.7-Plus supports 1.0M tokens and Qwen3.6 Plus supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Qwen3.7-Plus and Qwen3.6 Plus?

Key differences include input pricing ($0.32 vs $0.50/M). See the full comparison above for benchmark-by-benchmark results.

Related comparisons