Hy3 vs Qwen3.8 Max
Qwen3.8 Max leads the LLM Stats Score 52.0 to 43.2. Hy3 is 9.9x cheaper per token.
Tencent · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.8 Max leads the overall LLM Stats Score 52.0 to 43.2, ranking #11 overall.
In the 8 individual benchmarks reported for both models, Qwen3.8 Max wins 8; this is a narrower head-to-head signal than the composite indexes.
On price, Hy3 is roughly 9.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Hy3 also accepts a larger context window (262,144 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 9.9x cheaper per token
- you process long inputs — it offers a 262,144 token context window
Choose Qwen3.8 Max
- overall performance matters — it scores 52.0 and ranks #11 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 8 of 8 exact shared results
- you want the most recent training data — it shipped Aug 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
31 reported for Hy3 · 42 for Qwen3.8 Max
Hy3 outperforms in 0 benchmarks, while Qwen3.8 Max is better at 8 benchmarks (GPQA, Humanity's Last Exam (with tools, text-only), NL2Repo, SkillsBench, SWE-Bench Pro, Terminal-Bench 2.1, Toolathlon, WideSearch).
Qwen3.8 Max significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Hy3 ($0.14/1M tokens) is 11.8x cheaper than Qwen3.8 Max ($1.65/1M tokens).
For output processing, Hy3 ($0.58/1M tokens) is 8.5x cheaper than Qwen3.8 Max ($4.95/1M tokens).
In conclusion, Qwen3.8 Max is more expensive than Hy3.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3.8 Max has 2105.0B more parameters than Hy3, making it 713.6% larger.
Context Window
Maximum input and output token capacity
Hy3 accepts 262,144 input tokens compared to Qwen3.8 Max's 256,000 tokens. Hy3 can generate longer responses up to 262,144 tokens, while Qwen3.8 Max is limited to 256,000 tokens.
Input capabilities
Documented input modalities across available providers
Qwen3.8 Max supports multimodal inputs, whereas Hy3 does not.
Qwen3.8 Max can handle both text and other forms of data like images, making it suitable for multimodal applications.
Hy3
Qwen3.8 Max
License
Usage and distribution terms
Hy3 is licensed under Apache 2.0, while Qwen3.8 Max uses Qwen3.8-Max License.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
Qwen3.8-Max License
Open weights
Release Timeline
When each model was launched
Hy3 was released on 2026-07-06, while Qwen3.8 Max was released on 2026-08-02.
Qwen3.8 Max is 1 month newer than Hy3.
Jul 6, 2026
2 months ago
Aug 2, 2026
1 months ago
3w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Hy3 is available from DeepInfra. Qwen3.8 Max is available from DeepInfra, Fireworks, Novita, Together.
Hy3
Qwen3.8 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Hy3 and Qwen3.8 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Hy3 vs Qwen3.8 Max.