Model Comparison

Llama 3.1 8B Instruct vs Qwen3 235B A22B

Qwen3 235B A22B shows notably better performance in the majority of benchmarks. Llama 3.1 8B Instruct is 3.3x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Llama 3.1 8B Instruct outperforms in 1 benchmarks (BFCL), while Qwen3 235B A22B is better at 3 benchmarks (GPQA, MMLU, MMLU-Pro).

Qwen3 235B A22B shows notably better performance in the majority of benchmarks.

Mon Apr 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.1 8B Instruct costs less

For input processing, Llama 3.1 8B Instruct ($0.03/1M tokens) is 3.3x cheaper than Qwen3 235B A22B ($0.10/1M tokens).

For output processing, Llama 3.1 8B Instruct ($0.03/1M tokens) is 3.3x cheaper than Qwen3 235B A22B ($0.10/1M tokens).

In conclusion, Qwen3 235B A22B is more expensive than Llama 3.1 8B Instruct.*

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

Lowest available price from all providers
Mon Apr 13 2026 • llm-stats.com
Meta
Llama 3.1 8B Instruct
Input tokens$0.03
Output tokens$0.03
Best providerLambda
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input tokens$0.10
Output tokens$0.10
Best providerFireworks
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

227.0B diff

Qwen3 235B A22B has 227.0B more parameters than Llama 3.1 8B Instruct, making it 2837.5% larger.

Meta
Llama 3.1 8B Instruct
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
235.0Bparameters
8.0B
Llama 3.1 8B Instruct
235.0B
Qwen3 235B A22B

Context Window

Maximum input and output token capacity

Llama 3.1 8B Instruct accepts 131,072 input tokens compared to Qwen3 235B A22B's 128,000 tokens. Llama 3.1 8B Instruct can generate longer responses up to 131,072 tokens, while Qwen3 235B A22B is limited to 128,000 tokens.

Meta
Llama 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen3 235B A22B
Input128,000 tokens
Output128,000 tokens
Mon Apr 13 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.1 8B Instruct is licensed under Llama 3.1 Community License, while Qwen3 235B A22B uses Apache 2.0.

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

Llama 3.1 8B Instruct

Llama 3.1 Community License

Open weights

Qwen3 235B A22B

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 was released on 2025-04-29.

Qwen3 235B A22B is 9 months newer than Llama 3.1 8B Instruct.

Llama 3.1 8B Instruct

Jul 23, 2024

1.7 years ago

Qwen3 235B A22B

Apr 29, 2025

11 months ago

9mo newer

Knowledge Cutoff

When training data ends

Llama 3.1 8B Instruct has a documented knowledge cutoff of 2023-12-31, while Qwen3 235B A22B'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's cutoff date.

Llama 3.1 8B Instruct

Dec 2023

Qwen3 235B A22B

Provider Availability

Llama 3.1 8B Instruct is available from Lambda, DeepInfra, Groq, Sambanova, Cerebras, Hyperbolic, Together, Fireworks, Bedrock. Qwen3 235B A22B is available from Fireworks, DeepInfra, Novita, Together.

Llama 3.1 8B Instruct

lambda logo
Lambda
Input Price:Input: $0.03/1MOutput Price:Output: $0.03/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.05/1MOutput Price:Output: $0.05/1M
groq logo
Groq
Input Price:Input: $0.05/1MOutput Price:Output: $0.08/1M
sambanova logo
Sambanova
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
together logo
Together
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.22/1MOutput Price:Output: $0.22/1M

Qwen3 235B A22B

fireworks logo
Fireworks
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
novita logo
Novita
Input Price:Input: $0.20/1MOutput Price:Output: $0.80/1M
together logo
Together
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens
Higher BFCL score (76.1% vs 70.8%)
Alibaba Cloud / Qwen Team

Qwen3 235B A22B

View details

Alibaba Cloud / Qwen Team

Higher GPQA score (47.5% vs 30.4%)
Higher MMLU score (87.8% vs 69.4%)
Higher MMLU-Pro score (68.2% vs 48.3%)

Detailed Comparison

AI Model Comparison Table
Feature
Meta
Llama 3.1 8B Instruct
Alibaba Cloud / Qwen Team
Qwen3 235B A22B

FAQ

Common questions about Llama 3.1 8B Instruct vs Qwen3 235B A22B

Qwen3 235B A22B shows notably better performance in the majority of benchmarks. Llama 3.1 8B Instruct is made by Meta and Qwen3 235B A22B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Llama 3.1 8B Instruct scores GSM-8K (CoT): 84.5%, ARC-C: 83.4%, API-Bank: 82.6%, IFEval: 80.4%, BFCL: 76.1%. Qwen3 235B A22B scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.
Llama 3.1 8B Instruct is 3.3x cheaper for input tokens. Llama 3.1 8B Instruct costs $0.03/M input and $0.03/M output via lambda. Qwen3 235B A22B costs $0.10/M input and $0.10/M output via fireworks.
Llama 3.1 8B Instruct supports 131K tokens and Qwen3 235B A22B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 128K), input pricing ($0.03 vs $0.10/M), licensing (Llama 3.1 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Llama 3.1 8B Instruct is developed by Meta and Qwen3 235B A22B is developed by Alibaba Cloud / Qwen Team.