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Llama 3.1 8B Instruct vs Pixtral-12B

Llama 3.1 8B Instruct and Pixtral-12B are closely matched at -2.6 and -1.6 on the LLM Stats Score. Llama 3.1 8B Instruct is 6.7x cheaper per token.

Meta · Mistral AI · Updated for 2026

Which is better?

Llama 3.1 8B Instruct and Pixtral-12B are closely matched on the overall LLM Stats Score at -2.6 and -1.6.

In the 3 individual benchmarks reported for both models, Llama 3.1 8B Instruct wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, Llama 3.1 8B Instruct is roughly 6.7x 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

  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • cost matters — it's about 6.7x cheaper per token
  • you process long inputs — it offers a 131,072 token context window

Choose Pixtral-12B

  • you want the most recent training data — it shipped Sep 2024

At a glance

The differences that matter most.

Core performance indexes
-2.6
#339
-1.6
#336
-3.6
#337
-3.8
#338
-2.3
#249
-2.6
#250
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
$0.02 / M
$0.15 / M
Output price
$0.03 / M
$0.15 / M
Context window
131,072
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Llama 3.1 8B Instruct
Pixtral-12B
-2.5#311
1.0#295
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Llama 3.1 8B Instruct · 12 for Pixtral-12B

3 shared

Llama 3.1 8B Instruct outperforms in 3 benchmarks (HumanEval, IFEval, MMLU), while Pixtral-12B is better at 0 benchmarks.

Llama 3.1 8B Instruct significantly outperforms across most benchmarks.

Sun Sep 20 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 7.5x cheaper than Pixtral-12B ($0.15/1M tokens).

For output processing, Llama 3.1 8B Instruct ($0.03/1M tokens) is 5.0x cheaper than Pixtral-12B ($0.15/1M tokens).

In conclusion, Pixtral-12B 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
Sun Sep 20 2026 • llm-stats.com
Meta
Llama 3.1 8B Instruct
Input tokens$0.02
Output tokens$0.03
Best providerDeepinfra
Mistral AI
Pixtral-12B
Input tokens$0.15
Output tokens$0.15
Best providerMistral
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

4.4B diff

Pixtral-12B has 4.4B more parameters than Llama 3.1 8B Instruct, making it 55.0% larger.

Meta
Llama 3.1 8B Instruct
8.0Bparameters
Mistral AI
Pixtral-12B
12.4Bparameters
8.0B
Llama 3.1 8B Instruct
12.4B
Pixtral-12B

Context Window

Maximum input and output token capacity

Llama 3.1 8B Instruct accepts 131,072 input tokens compared to Pixtral-12B's 128,000 tokens. Llama 3.1 8B Instruct can generate longer responses up to 131,072 tokens, while Pixtral-12B is limited to 8,192 tokens.

Meta
Llama 3.1 8B Instruct
Input131,072 tokens
Output131,072 tokens
Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Sun Sep 20 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Pixtral-12B supports multimodal inputs, whereas Llama 3.1 8B Instruct does not.

Pixtral-12B can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.1 8B Instruct

Text
Images
Audio
Video

Pixtral-12B

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.1 8B Instruct is licensed under Llama 3.1 Community License, while Pixtral-12B 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

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.1 8B Instruct was released on 2024-07-23, while Pixtral-12B was released on 2024-09-17.

Pixtral-12B is 2 months newer than Llama 3.1 8B Instruct.

Llama 3.1 8B Instruct

Jul 23, 2024

2.2 years ago

Pixtral-12B

Sep 17, 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 Pixtral-12B'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 Pixtral-12B's cutoff date.

Llama 3.1 8B Instruct

Dec 2023

Pixtral-12B

Provider Availability

Llama 3.1 8B Instruct is available from DeepInfra, Lambda, Groq, Sambanova, Cerebras, Hyperbolic, Together, Fireworks, Bedrock. Pixtral-12B is available from Mistral AI.

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

Pixtral-12B

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
* 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 Pixtral-12B side-by-side, then vote on the output you prefer.

Llama 3.1 8B Instruct
✓ Preferred
Pixtral-12B
Open in Playground

FAQ

Common questions about Llama 3.1 8B Instruct vs Pixtral-12B.

Which is better, Llama 3.1 8B Instruct or Pixtral-12B?

Llama 3.1 8B Instruct and Pixtral-12B are closely matched on the LLM Stats Score at -2.6 and -1.6. Llama 3.1 8B Instruct is made by Meta and Pixtral-12B is made by Mistral AI. 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 Pixtral-12B 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%. Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%.

Is Llama 3.1 8B Instruct cheaper than Pixtral-12B?

Llama 3.1 8B Instruct is 7.5x cheaper for input tokens. Llama 3.1 8B Instruct costs $0.02/M input and $0.03/M output via deepinfra. Pixtral-12B costs $0.15/M input and $0.15/M output via mistral.

What are the context window sizes for Llama 3.1 8B Instruct and Pixtral-12B?

Llama 3.1 8B Instruct supports 131K tokens and Pixtral-12B 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 Pixtral-12B?

Key differences include LLM Stats Score (-2.6 vs -1.6), context window (131K vs 128K), input pricing ($0.02 vs $0.15/M), multimodal support (no vs yes), 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 Pixtral-12B?

Llama 3.1 8B Instruct is developed by Meta and Pixtral-12B is developed by Mistral AI.