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Llama 3.3 70B Instruct vs Mistral Small 3.2 24B Instruct

Llama 3.3 70B Instruct leads the LLM Stats Score 13.8 to 8.4. Mistral Small 3.2 24B Instruct is 1.2x cheaper per token.

Meta · Mistral AI · Updated for 2026

Which is better?

Llama 3.3 70B Instruct leads the overall LLM Stats Score 13.8 to 8.4, ranking #257 overall.

In the 4 individual benchmarks reported for both models, Llama 3.3 70B Instruct wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, Mistral Small 3.2 24B Instruct is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Llama 3.3 70B 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 3.3 70B Instruct

  • overall performance matters — it scores 13.8 and ranks #257 on LLM Stats
  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results
  • you process long inputs — it offers a 131,072 token context window

Choose Mistral Small 3.2 24B Instruct

  • cost matters — it's about 1.2x cheaper per token
  • you want the most recent training data — it shipped Jun 2025

At a glance

The differences that matter most.

Core performance indexes
13.8
#257
8.4
#294
11.7
#267
7.9
#295
Cost, coverage & limits
Benchmark wins
3 of 4
1 of 4
Input price
$0.10 / M
$0.07 / M
Output price
$0.20 / M
$0.20 / M
Context window
131,072
128,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Llama 3.3 70B Instruct
Mistral Small 3.2 24B Instruct
17.5#199
11.1#251
14.0#133
9.3#154
14.0#116
9.3#137
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

9 reported for Llama 3.3 70B Instruct · 15 for Mistral Small 3.2 24B Instruct

4 shared

Llama 3.3 70B Instruct outperforms in 3 benchmarks (GPQA, MATH, MMLU), while Mistral Small 3.2 24B Instruct is better at 1 benchmark (MMLU-Pro).

Llama 3.3 70B Instruct shows notably better performance in the majority of benchmarks.

Thu Oct 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Mistral Small 3.2 24B Instruct costs less

For input processing, Llama 3.3 70B Instruct ($0.10/1M tokens) is 1.3x more expensive than Mistral Small 3.2 24B Instruct ($0.07/1M tokens).

For output processing, Llama 3.3 70B Instruct ($0.20/1M tokens) costs the same as Mistral Small 3.2 24B Instruct ($0.20/1M tokens).

In conclusion, Llama 3.3 70B Instruct is more expensive than Mistral Small 3.2 24B Instruct.*

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

Lowest available price from all providers
Thu Oct 08 2026 • llm-stats.com
Meta
Llama 3.3 70B Instruct
Input tokens$0.10
Output tokens$0.20
Best providerDeepinfra
Mistral AI
Mistral Small 3.2 24B Instruct
Input tokens$0.07
Output tokens$0.20
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

46.4B diff

Llama 3.3 70B Instruct has 46.4B more parameters than Mistral Small 3.2 24B Instruct, making it 196.6% larger.

Meta
Llama 3.3 70B Instruct
70.0Bparameters
Mistral AI
Mistral Small 3.2 24B Instruct
23.6Bparameters
70.0B
Llama 3.3 70B Instruct
23.6B
Mistral Small 3.2 24B Instruct

Context Window

Maximum input and output token capacity

Llama 3.3 70B Instruct accepts 131,072 input tokens compared to Mistral Small 3.2 24B Instruct's 128,000 tokens. Llama 3.3 70B Instruct can generate longer responses up to 131,072 tokens, while Mistral Small 3.2 24B Instruct is limited to 128,000 tokens.

Meta
Llama 3.3 70B Instruct
Input131,072 tokens
Output131,072 tokens
Mistral AI
Mistral Small 3.2 24B Instruct
Input128,000 tokens
Output128,000 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Small 3.2 24B Instruct supports multimodal inputs, whereas Llama 3.3 70B Instruct does not.

Mistral Small 3.2 24B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Llama 3.3 70B Instruct

Text
Images
Audio
Video

Mistral Small 3.2 24B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.3 70B Instruct is licensed under Llama 3.3 Community License Agreement, while Mistral Small 3.2 24B Instruct uses Apache 2.0.

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

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Mistral Small 3.2 24B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Llama 3.3 70B Instruct was released on 2024-12-06, while Mistral Small 3.2 24B Instruct was released on 2025-06-20.

Mistral Small 3.2 24B Instruct is 7 months newer than Llama 3.3 70B Instruct.

Llama 3.3 70B Instruct

Dec 6, 2024

1.8 years ago

Mistral Small 3.2 24B Instruct

Jun 20, 2025

1.3 years ago

6mo newer

Knowledge Cutoff

When training data ends

Mistral Small 3.2 24B Instruct has a documented knowledge cutoff of 2023-10-01, while Llama 3.3 70B Instruct's cutoff date is not specified.

We can confirm Mistral Small 3.2 24B Instruct's training data extends to 2023-10-01, but cannot make a direct comparison without Llama 3.3 70B Instruct's cutoff date.

Llama 3.3 70B Instruct

—

Mistral Small 3.2 24B Instruct

Oct 2023

Provider Availability

Llama 3.3 70B Instruct is available from DeepInfra, Lambda, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks. Mistral Small 3.2 24B Instruct is available from DeepInfra.

Llama 3.3 70B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.32/1M
lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $0.40/1MOutput Price:Output: $0.40/1M
groq logo
Groq
Input Price:Input: $0.59/1MOutput Price:Output: $7.90/1M
sambanova logo
Sambanova
Input Price:Input: $0.60/1MOutput Price:Output: $1.20/1M
cerebras logo
Cerebras
Input Price:Input: $0.70/1MOutput Price:Output: $0.80/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
together logo
Together
Input Price:Input: $0.88/1MOutput Price:Output: $0.88/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

Mistral Small 3.2 24B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.07/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Llama 3.3 70B Instruct and Mistral Small 3.2 24B Instruct side-by-side, then vote on the output you prefer.

Llama 3.3 70B Instruct
✓ Preferred
Mistral Small 3.2 24B Instruct
Open in Playground

FAQ

Common questions about Llama 3.3 70B Instruct vs Mistral Small 3.2 24B Instruct.

Which is better, Llama 3.3 70B Instruct or Mistral Small 3.2 24B Instruct?

Llama 3.3 70B Instruct leads the LLM Stats Score 13.8 to 8.4. Llama 3.3 70B Instruct is made by Meta and Mistral Small 3.2 24B Instruct 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 3.3 70B Instruct compare to Mistral Small 3.2 24B Instruct in benchmarks?

Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%. Mistral Small 3.2 24B Instruct scores DocVQA: 94.9%, AI2D: 92.9%, HumanEval Plus: 92.9%, ChartQA: 87.4%, IF: 84.8%.

Is Llama 3.3 70B Instruct cheaper than Mistral Small 3.2 24B Instruct?

Mistral Small 3.2 24B Instruct is 1.3x cheaper for input tokens. Llama 3.3 70B Instruct costs $0.10/M input and $0.20/M output via deepinfra. Mistral Small 3.2 24B Instruct costs $0.07/M input and $0.20/M output via deepinfra.

What are the context window sizes for Llama 3.3 70B Instruct and Mistral Small 3.2 24B Instruct?

Llama 3.3 70B Instruct supports 131K tokens and Mistral Small 3.2 24B 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 3.3 70B Instruct and Mistral Small 3.2 24B Instruct?

Key differences include LLM Stats Score (13.8 vs 8.4), context window (131K vs 128K), input pricing ($0.10 vs $0.07/M), multimodal support (no vs yes), licensing (Llama 3.3 Community License Agreement vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.3 70B Instruct and Mistral Small 3.2 24B Instruct?

Llama 3.3 70B Instruct is developed by Meta and Mistral Small 3.2 24B Instruct is developed by Mistral AI.