Model Comparison

Devstral Small 1.1 vs Llama 3.3 70B InstructWhich is better in 2026?

Comparing Devstral Small 1.1 and Llama 3.3 70B Instruct across benchmarks, pricing, and capabilities.

Verdict: Devstral Small 1.1 vs Llama 3.3 70B Instruct — which is better?

Devstral Small 1.1 (by Mistral AI) and Llama 3.3 70B Instruct (by Meta) 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.

On price, Devstral Small 1.1 is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Choose Devstral Small 1.1 if…

  • cost matters — it's about 1.3x cheaper per token
  • you want the most recent training data — it shipped Jul 2025

Choose Llama 3.3 70B Instruct if…

  • you want predictable pricing at $0.20/M input and $0.20/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Devstral Small 1.1 and Llama 3.3 70B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Devstral Small 1.1 costs less

For input processing, Devstral Small 1.1 ($0.10/1M tokens) is 2.0x cheaper than Llama 3.3 70B Instruct ($0.20/1M tokens).

For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 1.5x more expensive than Llama 3.3 70B Instruct ($0.20/1M tokens).

In conclusion, Llama 3.3 70B Instruct is more expensive than Devstral Small 1.1.*

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

Lowest available price from all providers
Sun Jul 26 2026 • llm-stats.com
Mistral AI
Devstral Small 1.1
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Meta
Llama 3.3 70B Instruct
Input tokens$0.20
Output tokens$0.20
Best providerLambda
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

46.0B diff

Llama 3.3 70B Instruct has 46.0B more parameters than Devstral Small 1.1, making it 191.7% larger.

Mistral AI
Devstral Small 1.1
24.0Bparameters
Meta
Llama 3.3 70B Instruct
70.0Bparameters
24.0B
Devstral Small 1.1
70.0B
Llama 3.3 70B Instruct

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.

Mistral AI
Devstral Small 1.1
Input128,000 tokens
Output128,000 tokens
Meta
Llama 3.3 70B Instruct
Input128,000 tokens
Output128,000 tokens
Sun Jul 26 2026 • llm-stats.com

License

Usage and distribution terms

Devstral Small 1.1 is licensed under Apache 2.0, while Llama 3.3 70B Instruct uses Llama 3.3 Community License Agreement.

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

Devstral Small 1.1

Apache 2.0

Open weights

Llama 3.3 70B Instruct

Llama 3.3 Community License Agreement

Open weights

Release Timeline

When each model was launched

Devstral Small 1.1 was released on 2025-07-11, while Llama 3.3 70B Instruct was released on 2024-12-06.

Devstral Small 1.1 is 7 months newer than Llama 3.3 70B Instruct.

Devstral Small 1.1

Jul 11, 2025

1.0 years ago

7mo newer
Llama 3.3 70B Instruct

Dec 6, 2024

1.6 years ago

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

Devstral Small 1.1 is available from Mistral AI. Llama 3.3 70B Instruct is available from Lambda, DeepInfra, Hyperbolic, Groq, Sambanova, Cerebras, Bedrock, Together, Fireworks.

Devstral Small 1.1

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

Llama 3.3 70B Instruct

lambda logo
Lambda
Input Price:Input: $0.20/1MOutput Price:Output: $0.20/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.23/1MOutput 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: $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
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI
Less expensive input tokens
Meta
Less expensive output tokens

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Devstral Small 1.1 and Llama 3.3 70B Instruct side-by-side, then vote on the output you prefer.

Devstral Small 1.1
✓ Preferred
Llama 3.3 70B Instruct
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Devstral Small 1.1
Meta
Llama 3.3 70B Instruct

FAQ

Common questions about Devstral Small 1.1 vs Llama 3.3 70B Instruct.

Which is better, Devstral Small 1.1 or Llama 3.3 70B Instruct?

Devstral Small 1.1 (Mistral AI) and Llama 3.3 70B Instruct (Meta) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Devstral Small 1.1 compare to Llama 3.3 70B Instruct in benchmarks?

Devstral Small 1.1 scores SWE-Bench Verified: 53.6%. Llama 3.3 70B Instruct scores IFEval: 92.1%, MGSM: 91.1%, HumanEval: 88.4%, MBPP EvalPlus: 87.6%, MMLU: 86.0%.

Is Devstral Small 1.1 cheaper than Llama 3.3 70B Instruct?

Devstral Small 1.1 is 2.0x cheaper for input tokens. Devstral Small 1.1 costs $0.10/M input and $0.30/M output via mistral. Llama 3.3 70B Instruct costs $0.20/M input and $0.20/M output via lambda.

What are the context window sizes for Devstral Small 1.1 and Llama 3.3 70B Instruct?

Devstral Small 1.1 supports 128K tokens and Llama 3.3 70B 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 Devstral Small 1.1 and Llama 3.3 70B Instruct?

Key differences include input pricing ($0.10 vs $0.20/M), licensing (Apache 2.0 vs Llama 3.3 Community License Agreement). See the full comparison above for benchmark-by-benchmark results.

Who makes Devstral Small 1.1 and Llama 3.3 70B Instruct?

Devstral Small 1.1 is developed by Mistral AI and Llama 3.3 70B Instruct is developed by Meta.

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