Qwen3.7 Max vs Qwen3.8 Flash
Qwen3.8 Flash leads the LLM Stats Score 49.6 to 45.7. Qwen3.8 Flash is 8.2x cheaper per token.
Alibaba Cloud / Qwen Team · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.8 Flash leads the overall LLM Stats Score 49.6 to 45.7, ranking #16 overall.
In the 8 individual benchmarks reported for both models, Qwen3.8 Flash wins 6; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.8 Flash is roughly 8.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Qwen3.7 Max
- you want predictable pricing at $1.25/M input and $3.75/M output
Choose Qwen3.8 Flash
- overall performance matters — it scores 49.6 and ranks #16 on LLM Stats
- your work emphasizes agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 6 of 8 exact shared results
- cost matters — it's about 8.2x cheaper per token
- 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
42 reported for Qwen3.7 Max · 22 for Qwen3.8 Flash
Qwen3.7 Max outperforms in 2 benchmarks (GPQA, Humanity's Last Exam), while Qwen3.8 Flash is better at 6 benchmarks (CoWorkBench, IFBench, LiveCodeBench v6, NL2Repo, SWE-bench Multilingual, SWE-Bench Pro).
Qwen3.8 Flash shows notably better performance in the majority of benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Qwen3.7 Max ($1.25/1M tokens) is 8.3x more expensive than Qwen3.8 Flash ($0.15/1M tokens).
For output processing, Qwen3.7 Max ($3.75/1M tokens) is 8.0x more expensive than Qwen3.8 Flash ($0.47/1M tokens).
In conclusion, Qwen3.7 Max is more expensive than Qwen3.8 Flash.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,000,000 tokens. Qwen3.8 Flash can generate longer responses up to 131,072 tokens, while Qwen3.7 Max is limited to 65,536 tokens.
Input capabilities
Documented input modalities across available providers
Qwen3.8 Flash supports multimodal inputs, whereas Qwen3.7 Max does not.
Qwen3.8 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.
Qwen3.7 Max
Qwen3.8 Flash
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Qwen3.7 Max was released on 2026-05-19, while Qwen3.8 Flash was released on 2026-08-26.
Qwen3.8 Flash is 3 months newer than Qwen3.7 Max.
May 19, 2026
3 months ago
Aug 26, 2026
4 days ago
3mo newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Qwen3.7 Max is available from Novita, Together. Qwen3.8 Flash is available from Novita.
Qwen3.7 Max
Qwen3.8 Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Qwen3.7 Max and Qwen3.8 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Qwen3.7 Max vs Qwen3.8 Flash.