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Llama 3.2 90B Instruct vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 46.4 to 5.2. Llama 3.2 90B Instruct is 2.8x cheaper per token.

Meta · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.4 to 5.2, ranking #33 overall.

On price, Llama 3.2 90B Instruct is roughly 2.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Mistral Large 4 also accepts a larger context window (1,000,000 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 3.2 90B Instruct

  • cost matters — it's about 2.8x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Mistral Large 4

  • overall performance matters — it scores 46.4 and ranks #33 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

Llama 3.2 90B Instruct
Meta
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
5.2
#311
46.4
#33
Reasoning
6.7
#299
44.0
#42
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.35 / M
$0.68 / M
Output price
$0.40 / M
$2.09 / M
Context window
128,000
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Llama 3.2 90B Instruct
Mistral Large 4
Vision
2.8#173
1.1#185
Multimodal
5.5#145
1.7#158
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

13 reported for Llama 3.2 90B Instruct · 15 for Mistral Large 4

No common benchmarks found

Llama 3.2 90B Instruct and Mistral Large 4don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Llama 3.2 90B Instruct costs less

For input processing, Llama 3.2 90B Instruct ($0.35/1M tokens) is 1.9x cheaper than Mistral Large 4 ($0.68/1M tokens).

For output processing, Llama 3.2 90B Instruct ($0.40/1M tokens) is 5.2x cheaper than Mistral Large 4 ($2.09/1M tokens).

In conclusion, Mistral Large 4 is more expensive than Llama 3.2 90B Instruct.*

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

Lowest available price from all providers
Wed Oct 07 2026 • llm-stats.com
Meta
Llama 3.2 90B Instruct
Input tokens$0.35
Output tokens$0.40
Best providerDeepinfra
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
Notice missing or incorrect data?

Model Size

Parameter count comparison

960.0B diff

Mistral Large 4 has 960.0B more parameters than Llama 3.2 90B Instruct, making it 1066.7% larger.

Meta
Llama 3.2 90B Instruct
90.0Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
90.0B
Llama 3.2 90B Instruct
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

Mistral Large 4 accepts 1,000,000 input tokens compared to Llama 3.2 90B Instruct's 128,000 tokens. Only Llama 3.2 90B Instruct specifies output context (128,000 tokens).

Meta
Llama 3.2 90B Instruct
Input128,000 tokens
Output128,000 tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Wed Oct 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Llama 3.2 90B Instruct and Mistral Large 4 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Llama 3.2 90B Instruct

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

Llama 3.2 90B Instruct is licensed under Llama 3.2, while Mistral Large 4 uses a proprietary license.

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

Llama 3.2 90B Instruct

Llama 3.2

Open weights

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

Llama 3.2 90B Instruct was released on 2024-09-25, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 25 months newer than Llama 3.2 90B Instruct.

Llama 3.2 90B Instruct

Sep 25, 2024

2.0 years ago

Mistral Large 4

Oct 6, 2026

1 days ago

2.0yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Llama 3.2 90B Instruct is available from DeepInfra, Bedrock, Fireworks, Together, Hyperbolic. Mistral Large 4 is available from Mistral AI.

Llama 3.2 90B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.72/1MOutput Price:Output: $0.72/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
together logo
Together
Input Price:Input: $1.20/1MOutput Price:Output: $1.20/1M
hyperbolic logo
Hyperbolic
Input Price:Input: $2.00/1MOutput Price:Output: $2.00/1M

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Llama 3.2 90B Instruct and Mistral Large 4 side-by-side, then vote on the output you prefer.

Llama 3.2 90B Instruct
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about Llama 3.2 90B Instruct vs Mistral Large 4.

Which is better, Llama 3.2 90B Instruct or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 46.4 to 5.2. Llama 3.2 90B Instruct is made by Meta and Mistral Large 4 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 3.2 90B Instruct compare to Mistral Large 4 in benchmarks?

Llama 3.2 90B Instruct scores AI2D: 92.3%, DocVQA: 90.1%, MGSM: 86.9%, MMLU: 86.0%, ChartQA: 85.5%. Mistral Large 4 scores CyBench: 93.0%, SciCode: 91.8%, CyberGym: 82.0%, Finch (FinWorkBench): 67.4%, ChartQAPro: 63.1%.

Is Llama 3.2 90B Instruct cheaper than Mistral Large 4?

Llama 3.2 90B Instruct is 1.9x cheaper for input tokens. Llama 3.2 90B Instruct costs $0.35/M input and $0.40/M output via deepinfra. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral.

What are the context window sizes for Llama 3.2 90B Instruct and Mistral Large 4?

Llama 3.2 90B Instruct supports 128K tokens and Mistral Large 4 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Llama 3.2 90B Instruct and Mistral Large 4?

Key differences include LLM Stats Score (5.2 vs 46.4), context window (128K vs 1.0M), input pricing ($0.35 vs $0.68/M), licensing (Llama 3.2 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.2 90B Instruct and Mistral Large 4?

Llama 3.2 90B Instruct is developed by Meta and Mistral Large 4 is developed by Mistral AI.

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