Llama 4 Maverick vs Qwen3.8 Flash
Qwen3.8 Flash leads the LLM Stats Score 49.6 to 14.9. Qwen3.8 Flash is 1.2x cheaper per token.
Meta · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Qwen3.8 Flash leads the overall LLM Stats Score 49.6 to 14.9, ranking #16 overall.
In the 1 individual benchmarks reported for both models, Qwen3.8 Flash wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Qwen3.8 Flash is roughly 1.2x 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 Llama 4 Maverick
- you need open weights you can self-host or fine-tune
Choose Qwen3.8 Flash
- overall performance matters — it scores 49.6 and ranks #16 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 1.2x 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
13 reported for Llama 4 Maverick · 22 for Qwen3.8 Flash
Llama 4 Maverick outperforms in 0 benchmarks, while Qwen3.8 Flash is better at 1 benchmark (GPQA).
Qwen3.8 Flash 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, Llama 4 Maverick ($0.17/1M tokens) is 1.1x more expensive than Qwen3.8 Flash ($0.15/1M tokens).
For output processing, Llama 4 Maverick ($0.60/1M tokens) is 1.3x more expensive than Qwen3.8 Flash ($0.47/1M tokens).
In conclusion, Llama 4 Maverick is more expensive than Qwen3.8 Flash.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Llama 4 Maverick has 275.0B more parameters than Qwen3.8 Flash, making it 220.0% larger.
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,000,000 tokens. Llama 4 Maverick can generate longer responses up to 1,000,000 tokens, while Qwen3.8 Flash is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both Llama 4 Maverick and Qwen3.8 Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Llama 4 Maverick
Qwen3.8 Flash
License
Usage and distribution terms
Llama 4 Maverick is licensed under Llama 4 Community License Agreement, while Qwen3.8 Flash uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 4 Community License Agreement
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
Llama 4 Maverick was released on 2025-04-05, while Qwen3.8 Flash was released on 2026-08-26.
Qwen3.8 Flash is 17 months newer than Llama 4 Maverick.
Apr 5, 2025
1.4 years ago
Aug 26, 2026
4 days ago
1.4yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Llama 4 Maverick is available from DeepInfra, Novita, Lambda, Groq, Fireworks, Together, Sambanova. Qwen3.8 Flash is available from Novita.
Llama 4 Maverick
Qwen3.8 Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Llama 4 Maverick and Qwen3.8 Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Llama 4 Maverick vs Qwen3.8 Flash.