Model Comparison
Llama 3.1 8B Instruct vs Qwen3-235B-A22B-Thinking-2507Which is better in 2026?
Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. Llama 3.1 8B Instruct is 32.5x cheaper per token.
Verdict: Llama 3.1 8B Instruct vs Qwen3-235B-A22B-Thinking-2507 — which is better?
Llama 3.1 8B Instruct (by Meta) and Qwen3-235B-A22B-Thinking-2507 (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.
Llama 3.1 8B Instruct outperforms in 0 benchmarks, while Qwen3-235B-A22B-Thinking-2507 is better at 3 benchmarks (GPQA, IFEval, MMLU-Pro). Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.
On price, Llama 3.1 8B Instruct is roughly 32.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Qwen3-235B-A22B-Thinking-2507 also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.
Choose Llama 3.1 8B Instruct if…
- cost matters — it's about 32.5x cheaper per token
Choose Qwen3-235B-A22B-Thinking-2507 if…
- you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
- you process long inputs — it offers a 262,144 token context window
- you want the most recent training data — it shipped Jul 2025
Performance Benchmarks
Comparative analysis across standard metrics
Llama 3.1 8B Instruct outperforms in 0 benchmarks, while Qwen3-235B-A22B-Thinking-2507 is better at 3 benchmarks (GPQA, IFEval, MMLU-Pro).
Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Llama 3.1 8B Instruct ($0.03/1M tokens) is 10.0x cheaper than Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).
For output processing, Llama 3.1 8B Instruct ($0.03/1M tokens) is 100.0x cheaper than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).
In conclusion, Qwen3-235B-A22B-Thinking-2507 is more expensive than Llama 3.1 8B Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Qwen3-235B-A22B-Thinking-2507 has 227.0B more parameters than Llama 3.1 8B Instruct, making it 2837.5% larger.
Context Window
Maximum input and output token capacity
Qwen3-235B-A22B-Thinking-2507 accepts 262,144 input tokens compared to Llama 3.1 8B Instruct's 131,072 tokens. Both models can generate responses up to 131,072 tokens.
License
Usage and distribution terms
Llama 3.1 8B Instruct is licensed under Llama 3.1 Community License, while Qwen3-235B-A22B-Thinking-2507 uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Llama 3.1 Community License
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Llama 3.1 8B Instruct was released on 2024-07-23, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.
Qwen3-235B-A22B-Thinking-2507 is 12 months newer than Llama 3.1 8B Instruct.
Jul 23, 2024
1.9 years ago
Jul 25, 2025
10 months ago
1.0yr newerKnowledge Cutoff
When training data ends
Llama 3.1 8B Instruct has a documented knowledge cutoff of 2023-12-31, while Qwen3-235B-A22B-Thinking-2507's cutoff date is not specified.
We can confirm Llama 3.1 8B Instruct's training data extends to 2023-12-31, but cannot make a direct comparison without Qwen3-235B-A22B-Thinking-2507's cutoff date.
Dec 2023
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Provider Availability
Llama 3.1 8B Instruct is available from Lambda, DeepInfra, Groq, Sambanova, Cerebras, Hyperbolic, Together, Fireworks, Bedrock. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.
Llama 3.1 8B Instruct
Qwen3-235B-A22B-Thinking-2507
Outputs Comparison
Key Takeaways
Qwen3-235B-A22B-Thinking-2507
View detailsAlibaba Cloud / Qwen Team
Detailed Comparison
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FAQ
Common questions about Llama 3.1 8B Instruct vs Qwen3-235B-A22B-Thinking-2507.