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Llama 3.1 8B Instruct vs Qwen2.5-Coder 32B Instruct

Llama 3.1 8B Instruct and Qwen2.5-Coder 32B Instruct are closely matched at -2.6 and 2.0 on the LLM Stats Score. Llama 3.1 8B Instruct is 4.0x cheaper per token.

Meta · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Llama 3.1 8B Instruct and Qwen2.5-Coder 32B Instruct are closely matched on the overall LLM Stats Score at -2.6 and 2.0.

In the 4 individual benchmarks reported for both models, Qwen2.5-Coder 32B Instruct wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, Llama 3.1 8B Instruct is roughly 4.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Llama 3.1 8B Instruct also accepts a larger context window (131,072 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 Llama 3.1 8B Instruct

  • cost matters — it's about 4.0x cheaper per token
  • you process long inputs — it offers a 131,072 token context window

Choose Qwen2.5-Coder 32B Instruct

  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results
  • you want the most recent training data — it shipped Sep 2024

At a glance

The differences that matter most.

Core performance indexes
-2.6
#338
2.0
#316
-3.6
#336
2.0
#306
-2.3
#248
10.0
#165
Cost, coverage & limits
Benchmark wins
1 of 4
3 of 4
Input price
$0.02 / M
$0.09 / M
Output price
$0.03 / M
$0.09 / M
Context window
131,072
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Llama 3.1 8B Instruct
Qwen2.5-Coder 32B Instruct
-2.5#311
4.9#277
-3.0#206
1.2#190
-3.0#190
-0.4#185
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Llama 3.1 8B Instruct · 15 for Qwen2.5-Coder 32B Instruct

4 shared

Llama 3.1 8B Instruct outperforms in 1 benchmarks (ARC-C), while Qwen2.5-Coder 32B Instruct is better at 3 benchmarks (HumanEval, MMLU, MMLU-Pro).

Qwen2.5-Coder 32B Instruct shows notably better performance in the majority of benchmarks.

Mon Sep 14 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Llama 3.1 8B Instruct costs less

For input processing, Llama 3.1 8B Instruct ($0.02/1M tokens) is 4.5x cheaper than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

For output processing, Llama 3.1 8B Instruct ($0.03/1M tokens) is 3.0x cheaper than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

In conclusion, Qwen2.5-Coder 32B Instruct 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 Sep 14 2026 • llm-stats.com
Meta
Llama 3.1 8B Instruct
Input tokens$0.02
Output tokens$0.03
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input tokens$0.09
Output tokens$0.09
Best providerLambda
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

24.0B diff

Qwen2.5-Coder 32B Instruct has 24.0B more parameters than Llama 3.1 8B Instruct, making it 300.0% larger.

Meta
Llama 3.1 8B Instruct
8.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
32.0Bparameters
8.0B
Llama 3.1 8B Instruct
32.0B
Qwen2.5-Coder 32B Instruct

Context Window

Maximum input and output token capacity

Llama 3.1 8B Instruct accepts 131,072 input tokens compared to Qwen2.5-Coder 32B Instruct's 128,000 tokens. Llama 3.1 8B Instruct can generate longer responses up to 131,072 tokens, while Qwen2.5-Coder 32B Instruct is limited to 128,000 tokens.

Meta
Llama 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Alibaba Cloud / Qwen Team
Qwen2.5-Coder 32B Instruct
Input128,000 tokens
Output128,000 tokens
Mon Sep 14 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.1 8B Instruct is licensed under Llama 3.1 Community License, while Qwen2.5-Coder 32B Instruct 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

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.1 8B Instruct was released on 2024-07-23, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

Qwen2.5-Coder 32B Instruct is 2 months newer than Llama 3.1 8B Instruct.

Llama 3.1 8B Instruct

Jul 23, 2024

2.1 years ago

Qwen2.5-Coder 32B Instruct

Sep 19, 2024

2.0 years ago

1mo newer

Knowledge Cutoff

When training data ends

Llama 3.1 8B Instruct has a documented knowledge cutoff of 2023-12-31, while Qwen2.5-Coder 32B Instruct'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 Qwen2.5-Coder 32B Instruct's cutoff date.

Llama 3.1 8B Instruct

Dec 2023

Qwen2.5-Coder 32B Instruct

Provider Availability

Llama 3.1 8B Instruct is available from DeepInfra, Lambda, Groq, Sambanova, Cerebras, Hyperbolic, Together, Fireworks, Bedrock. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks.

Llama 3.1 8B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.04/1M
lambda logo
Lambda
Input Price:Input: $0.03/1MOutput Price:Output: $0.03/1M
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

Qwen2.5-Coder 32B Instruct

lambda logo
Lambda
Input Price:Input: $0.09/1MOutput Price:Output: $0.09/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Llama 3.1 8B Instruct and Qwen2.5-Coder 32B Instruct side-by-side, then vote on the output you prefer.

Llama 3.1 8B Instruct
✓ Preferred
Qwen2.5-Coder 32B Instruct
Open in Playground

FAQ

Common questions about Llama 3.1 8B Instruct vs Qwen2.5-Coder 32B Instruct.

Which is better, Llama 3.1 8B Instruct or Qwen2.5-Coder 32B Instruct?

Llama 3.1 8B Instruct and Qwen2.5-Coder 32B Instruct are closely matched on the LLM Stats Score at -2.6 and 2.0. Llama 3.1 8B Instruct is made by Meta and Qwen2.5-Coder 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Llama 3.1 8B Instruct compare to Qwen2.5-Coder 32B Instruct in benchmarks?

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%. Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.

Is Llama 3.1 8B Instruct cheaper than Qwen2.5-Coder 32B Instruct?

Llama 3.1 8B Instruct is 4.5x cheaper for input tokens. Llama 3.1 8B Instruct costs $0.02/M input and $0.03/M output via deepinfra. Qwen2.5-Coder 32B Instruct costs $0.09/M input and $0.09/M output via lambda.

What are the context window sizes for Llama 3.1 8B Instruct and Qwen2.5-Coder 32B Instruct?

Llama 3.1 8B Instruct supports 131K tokens and Qwen2.5-Coder 32B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 3.1 8B Instruct and Qwen2.5-Coder 32B Instruct?

Key differences include LLM Stats Score (-2.6 vs 2.0), context window (131K vs 128K), input pricing ($0.02 vs $0.09/M), licensing (Llama 3.1 Community License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.1 8B Instruct and Qwen2.5-Coder 32B Instruct?

Llama 3.1 8B Instruct is developed by Meta and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.