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Hy3 vs Qwen3.7 Max

Hy3 and Qwen3.7 Max are closely matched at 43.2 and 45.5 on the LLM Stats Score. Hy3 is 7.5x cheaper per token.

Tencent · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Hy3 and Qwen3.7 Max are closely matched on the overall LLM Stats Score at 43.2 and 45.5.

In the 10 individual benchmarks reported for both models, Qwen3.7 Max wins 8; this is a narrower head-to-head signal than the composite indexes.

On price, Hy3 is roughly 7.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3.7 Max also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Hy3

  • cost matters — it's about 7.5x cheaper per token
  • you want the most recent training data — it shipped Jul 2026
  • you need open weights you can self-host or fine-tune

Choose Qwen3.7 Max

  • you value its reported benchmark strengths — it wins 8 of 10 exact shared results
  • you process long inputs — it offers a 1,000,000 token context window

At a glance

The differences that matter most.

Core performance indexes
43.2
#41
45.5
#29
43.1
#42
46.2
#27
33.2
#35
36.1
#24
27.2
#44
29.2
#38
Cost, coverage & limits
Benchmark wins
2 of 10
8 of 10
Input price
$0.14 / M
$1.25 / M
Output price
$0.58 / M
$3.75 / M
Context window
262,144
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Hy3
Qwen3.7 Max
36.9#33
43.0#3
21.4#50
26.9#26
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

31 reported for Hy3 · 42 for Qwen3.7 Max

10 shared

Hy3 outperforms in 2 benchmarks (Claw-Eval, MCP Atlas), while Qwen3.7 Max is better at 7 benchmarks (GPQA, MathArena Apex, NL2Repo, SkillsBench, SWE-bench Multilingual, SWE-Bench Pro, SWE-Bench Verified).

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

Thu Sep 17 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Hy3 costs less

For input processing, Hy3 ($0.14/1M tokens) is 8.9x cheaper than Qwen3.7 Max ($1.25/1M tokens).

For output processing, Hy3 ($0.58/1M tokens) is 6.5x cheaper than Qwen3.7 Max ($3.75/1M tokens).

In conclusion, Qwen3.7 Max is more expensive than Hy3.*

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

Lowest available price from all providers
Thu Sep 17 2026 • llm-stats.com
Tencent
Hy3
Input tokens$0.14
Output tokens$0.58
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3.7 Max
Input tokens$1.25
Output tokens$3.75
Best providerNovita
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Qwen3.7 Max accepts 1,000,000 input tokens compared to Hy3's 262,144 tokens. Hy3 can generate longer responses up to 262,144 tokens, while Qwen3.7 Max is limited to 65,536 tokens.

Tencent
Hy3
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
Qwen3.7 Max
Input1,000,000 tokens
Output65,536 tokens
Thu Sep 17 2026 • llm-stats.com

License

Usage and distribution terms

Hy3 is licensed under Apache 2.0, while Qwen3.7 Max uses a proprietary license.

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

Hy3

Apache 2.0

Open weights

Qwen3.7 Max

Proprietary

Closed source

Release Timeline

When each model was launched

Hy3 was released on 2026-07-06, while Qwen3.7 Max was released on 2026-05-19.

Hy3 is 2 months newer than Qwen3.7 Max.

Hy3

Jul 6, 2026

2 months ago

1mo newer
Qwen3.7 Max

May 19, 2026

4 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

Hy3 is available from DeepInfra. Qwen3.7 Max is available from Novita, DeepInfra, Together.

Hy3

deepinfra logo
Deepinfra
Input Price:Input: $0.14/1MOutput Price:Output: $0.58/1M

Qwen3.7 Max

novita logo
Novita
Input Price:Input: $1.25/1MOutput Price:Output: $3.75/1M
deepinfra logo
Deepinfra
Input Price:Input: $2.50/1MOutput Price:Output: $7.50/1M
together logo
Together
Input Price:Input: $2.50/1MOutput Price:Output: $7.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Hy3 and Qwen3.7 Max side-by-side, then vote on the output you prefer.

Hy3
✓ Preferred
Qwen3.7 Max
Open in Playground

FAQ

Common questions about Hy3 vs Qwen3.7 Max.

Which is better, Hy3 or Qwen3.7 Max?

Hy3 and Qwen3.7 Max are closely matched on the LLM Stats Score at 43.2 and 45.5. Hy3 is made by Tencent and Qwen3.7 Max 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 Hy3 compare to Qwen3.7 Max in benchmarks?

Hy3 scores DeepSearchQA: 91.0%, GPQA: 90.4%, IMO-AnswerBench: 90.0%, BrowseComp: 84.2%, MCP Atlas: 79.1%. Qwen3.7 Max scores HMMT Feb 26: 97.1%, Kernel Bench L3: 96.0%, MMLU-Redux: 95.0%, IFEval: 94.3%, GPQA: 92.4%.

Is Hy3 cheaper than Qwen3.7 Max?

Hy3 is 8.9x cheaper for input tokens. Hy3 costs $0.14/M input and $0.58/M output via deepinfra. Qwen3.7 Max costs $1.25/M input and $3.75/M output via novita.

What are the context window sizes for Hy3 and Qwen3.7 Max?

Hy3 supports 262K tokens and Qwen3.7 Max 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 Hy3 and Qwen3.7 Max?

Key differences include LLM Stats Score (43.2 vs 45.5), context window (262K vs 1.0M), input pricing ($0.14 vs $1.25/M), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Hy3 and Qwen3.7 Max?

Hy3 is developed by Tencent and Qwen3.7 Max is developed by Alibaba Cloud / Qwen Team.