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Devstral Small 1.1 vs GPT-4 Turbo

Devstral Small 1.1 and GPT-4 Turbo are closely matched at 9.3 and 9.1 on the LLM Stats Score. Devstral Small 1.1 is 100.0x cheaper per token.

Mistral AI · OpenAI · Updated for 2026

Which is better?

Devstral Small 1.1 and GPT-4 Turbo are closely matched on the overall LLM Stats Score at 9.3 and 9.1.

On price, Devstral Small 1.1 is roughly 100.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Devstral Small 1.1

  • cost matters — it's about 100.0x cheaper per token
  • you want the most recent training data — it shipped Jul 2025
  • you need open weights you can self-host or fine-tune

Choose GPT-4 Turbo

  • you want predictable pricing at $10.00/M input and $30.00/M output

At a glance

The differences that matter most.

Devstral Small 1.1
Mistral AI
GPT-4 Turbo
OpenAI
Core performance indexes
LLM Stats Score
9.3
#267
9.1
#268
Reasoning
9.3
#262
9.2
#264
Coding
0.7
#235
7.2
#184
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.10 / M
$10.00 / M
Output price
$0.30 / M
$30.00 / M
Context window
128,000
128,000

Individual benchmarks

1 reported for Devstral Small 1.1 · 6 for GPT-4 Turbo

No common benchmarks found

Devstral Small 1.1 and GPT-4 Turbodon'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

Devstral Small 1.1 costs less

For input processing, Devstral Small 1.1 ($0.10/1M tokens) is 100.0x cheaper than GPT-4 Turbo ($10.00/1M tokens).

For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 100.0x cheaper than GPT-4 Turbo ($30.00/1M tokens).

In conclusion, GPT-4 Turbo is more expensive than Devstral Small 1.1.*

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

Lowest available price from all providers
Thu Sep 10 2026 • llm-stats.com
Mistral AI
Devstral Small 1.1
Input tokens$0.10
Output tokens$0.30
Best providerMistral
OpenAI
GPT-4 Turbo
Input tokens$10.00
Output tokens$30.00
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Devstral Small 1.1 can generate longer responses up to 128,000 tokens, while GPT-4 Turbo is limited to 4,096 tokens.

Mistral AI
Devstral Small 1.1
Input128,000 tokens
Output128,000 tokens
OpenAI
GPT-4 Turbo
Input128,000 tokens
Output4,096 tokens
Thu Sep 10 2026 • llm-stats.com

License

Usage and distribution terms

Devstral Small 1.1 is licensed under Apache 2.0, while GPT-4 Turbo uses a proprietary license.

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

GPT-4 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Devstral Small 1.1 was released on 2025-07-11, while GPT-4 Turbo was released on 2024-04-09.

Devstral Small 1.1 is 15 months newer than GPT-4 Turbo.

Devstral Small 1.1

Jul 11, 2025

1.2 years ago

1.3yr newer
GPT-4 Turbo

Apr 9, 2024

2.4 years ago

Knowledge Cutoff

When training data ends

GPT-4 Turbo has a documented knowledge cutoff of 2023-12-31, while Devstral Small 1.1's cutoff date is not specified.

We can confirm GPT-4 Turbo's training data extends to 2023-12-31, but cannot make a direct comparison without Devstral Small 1.1's cutoff date.

Devstral Small 1.1

—

GPT-4 Turbo

Dec 2023

Provider Availability

Devstral Small 1.1 is available from Mistral AI. GPT-4 Turbo is available from Azure, OpenAI.

Devstral Small 1.1

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

GPT-4 Turbo

azure logo
Azure
Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M
openai logo
OpenAI
Input Price:Input: $10.00/1MOutput Price:Output: $30.00/1M
* 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 Devstral Small 1.1 and GPT-4 Turbo side-by-side, then vote on the output you prefer.

Devstral Small 1.1
✓ Preferred
GPT-4 Turbo
Open in Playground

FAQ

Common questions about Devstral Small 1.1 vs GPT-4 Turbo.

Which is better, Devstral Small 1.1 or GPT-4 Turbo?

Devstral Small 1.1 and GPT-4 Turbo are closely matched on the LLM Stats Score at 9.3 and 9.1. Devstral Small 1.1 is made by Mistral AI and GPT-4 Turbo is made by OpenAI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Devstral Small 1.1 compare to GPT-4 Turbo in benchmarks?

Devstral Small 1.1 scores SWE-Bench Verified: 53.6%. GPT-4 Turbo scores MGSM: 88.5%, HumanEval: 87.1%, MMLU: 86.5%, DROP: 86.0%, MATH: 72.6%.

Is Devstral Small 1.1 cheaper than GPT-4 Turbo?

Devstral Small 1.1 is 100.0x cheaper for input tokens. Devstral Small 1.1 costs $0.10/M input and $0.30/M output via mistral. GPT-4 Turbo costs $10.00/M input and $30.00/M output via azure.

What are the context window sizes for Devstral Small 1.1 and GPT-4 Turbo?

Devstral Small 1.1 supports 128K tokens and GPT-4 Turbo 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 GPT-4 Turbo?

Key differences include LLM Stats Score (9.3 vs 9.1), input pricing ($0.10 vs $10.00/M), licensing (Apache 2.0 vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Devstral Small 1.1 and GPT-4 Turbo?

Devstral Small 1.1 is developed by Mistral AI and GPT-4 Turbo is developed by OpenAI.

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