Model Comparison

Llama 3.1 70B Instruct vs Mistral Large 2Which is better in 2026?

Mistral Large 2 significantly outperforms across most benchmarks. Llama 3.1 70B Instruct is 15.0x cheaper per token.

Verdict: Llama 3.1 70B Instruct vs Mistral Large 2 — which is better?

Llama 3.1 70B Instruct (by Meta) and Mistral Large 2 (by Mistral AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Llama 3.1 70B Instruct outperforms in 0 benchmarks, while Mistral Large 2 is better at 2 benchmarks (HumanEval, MMLU). Mistral Large 2 significantly outperforms across most benchmarks.

On price, Llama 3.1 70B Instruct is roughly 15.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose Llama 3.1 70B Instruct if…

  • cost matters — it's about 15.0x cheaper per token

Choose Mistral Large 2 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Jul 2024

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Llama 3.1 70B Instruct outperforms in 0 benchmarks, while Mistral Large 2 is better at 2 benchmarks (HumanEval, MMLU).

Mistral Large 2 significantly outperforms across most benchmarks.

Sat Jul 18 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Llama 3.1 70B Instruct costs less

For input processing, Llama 3.1 70B Instruct ($0.20/1M tokens) is 10.0x cheaper than Mistral Large 2 ($2.00/1M tokens).

For output processing, Llama 3.1 70B Instruct ($0.20/1M tokens) is 30.0x cheaper than Mistral Large 2 ($6.00/1M tokens).

In conclusion, Mistral Large 2 is more expensive than Llama 3.1 70B Instruct.*

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

Lowest available price from all providers
Sat Jul 18 2026 • llm-stats.com
Meta
Llama 3.1 70B Instruct
Input tokens$0.20
Output tokens$0.20
Best providerLambda
Mistral AI
Mistral Large 2
Input tokens$2.00
Output tokens$6.00
Best providerGoogle
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Model Size

Parameter count comparison

53.0B diff

Mistral Large 2 has 53.0B more parameters than Llama 3.1 70B Instruct, making it 75.7% larger.

Meta
Llama 3.1 70B Instruct
70.0Bparameters
Mistral AI
Mistral Large 2
123.0Bparameters
70.0B
Llama 3.1 70B Instruct
123.0B
Mistral Large 2

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Meta
Llama 3.1 70B Instruct
Input128,000 tokens
Output128,000 tokens
Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Sat Jul 18 2026 • llm-stats.com

License

Usage and distribution terms

Llama 3.1 70B Instruct is licensed under Llama 3.1 Community License, while Mistral Large 2 uses Mistral Research License.

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

Llama 3.1 70B Instruct

Llama 3.1 Community License

Open weights

Mistral Large 2

Mistral Research License

Open weights

Release Timeline

When each model was launched

Llama 3.1 70B Instruct was released on 2024-07-23, while Mistral Large 2 was released on 2024-07-24.

Mistral Large 2 is 0 month newer than Llama 3.1 70B Instruct.

Llama 3.1 70B Instruct

Jul 23, 2024

2.0 years ago

Mistral Large 2

Jul 24, 2024

2.0 years ago

1d 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 3.1 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Cerebras, Together, Fireworks, Bedrock, Sambanova. Mistral Large 2 is available from Google, Mistral AI.

Llama 3.1 70B Instruct

lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $0.40/1M
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: $0.78/1M
cerebras logo
Cerebras
Input Price:Input: $0.60/1MOutput Price:Output: $0.60/1M
together logo
Together
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
fireworks logo
Fireworks
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
bedrock logo
AWS Bedrock
Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M
sambanova logo
Sambanova
Input Price:Input: $5.00/1MOutput Price:Output: $10.00/1M

Mistral Large 2

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Less expensive input tokens
Less expensive output tokens
Higher HumanEval score (92.0% vs 80.5%)
Higher MMLU score (84.0% vs 83.6%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Llama 3.1 70B Instruct and Mistral Large 2 side-by-side, then vote on the output you prefer.

Llama 3.1 70B Instruct
✓ Preferred
Mistral Large 2
Open in Playground
AI Model Comparison Table
Feature
Meta
Llama 3.1 70B Instruct
Mistral AI
Mistral Large 2

FAQ

Common questions about Llama 3.1 70B Instruct vs Mistral Large 2.

Which is better, Llama 3.1 70B Instruct or Mistral Large 2?

Mistral Large 2 significantly outperforms across most benchmarks. Llama 3.1 70B Instruct is made by Meta and Mistral Large 2 is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Llama 3.1 70B Instruct compare to Mistral Large 2 in benchmarks?

Llama 3.1 70B Instruct scores GSM-8K (CoT): 95.1%, ARC-C: 94.8%, API-Bank: 90.0%, IFEval: 87.5%, Multilingual MGSM (CoT): 86.9%. Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%.

Is Llama 3.1 70B Instruct cheaper than Mistral Large 2?

Llama 3.1 70B Instruct is 10.0x cheaper for input tokens. Llama 3.1 70B Instruct costs $0.20/M input and $0.20/M output via lambda. Mistral Large 2 costs $2.00/M input and $6.00/M output via google.

What are the context window sizes for Llama 3.1 70B Instruct and Mistral Large 2?

Llama 3.1 70B Instruct supports 128K tokens and Mistral Large 2 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 70B Instruct and Mistral Large 2?

Key differences include input pricing ($0.20 vs $2.00/M), licensing (Llama 3.1 Community License vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes Llama 3.1 70B Instruct and Mistral Large 2?

Llama 3.1 70B Instruct is developed by Meta and Mistral Large 2 is developed by Mistral AI.