Model Comparison

Devstral Small 1.1 vs GPT-3.5 TurboWhich is better in 2026?

Comparing Devstral Small 1.1 and GPT-3.5 Turbo across benchmarks, pricing, and capabilities.

Verdict: Devstral Small 1.1 vs GPT-3.5 Turbo — which is better?

Devstral Small 1.1 (by Mistral AI) and GPT-3.5 Turbo (by OpenAI) 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 5.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Devstral Small 1.1 also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Devstral Small 1.1 if…

  • cost matters — it's about 5.0x cheaper per token
  • you process long inputs — it offers a 128,000 token context window
  • you want the most recent training data — it shipped Jul 2025
  • you need open weights you can self-host or fine-tune

Choose GPT-3.5 Turbo if…

  • you want predictable pricing at $0.50/M input and $1.50/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Devstral Small 1.1 and GPT-3.5 Turbodon'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 5.0x cheaper than GPT-3.5 Turbo ($0.50/1M tokens).

For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 5.0x cheaper than GPT-3.5 Turbo ($1.50/1M tokens).

In conclusion, GPT-3.5 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
Sat Jun 27 2026 • llm-stats.com
Mistral AI
Devstral Small 1.1
Input tokens$0.10
Output tokens$0.30
Best providerMistral
OpenAI
GPT-3.5 Turbo
Input tokens$0.50
Output tokens$1.50
Best providerAzure
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Devstral Small 1.1 accepts 128,000 input tokens compared to GPT-3.5 Turbo's 16,385 tokens. Devstral Small 1.1 can generate longer responses up to 128,000 tokens, while GPT-3.5 Turbo is limited to 4,096 tokens.

Mistral AI
Devstral Small 1.1
Input128,000 tokens
Output128,000 tokens
OpenAI
GPT-3.5 Turbo
Input16,385 tokens
Output4,096 tokens
Sat Jun 27 2026 • llm-stats.com

License

Usage and distribution terms

Devstral Small 1.1 is licensed under Apache 2.0, while GPT-3.5 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-3.5 Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Devstral Small 1.1 was released on 2025-07-11, while GPT-3.5 Turbo was released on 2023-03-21.

Devstral Small 1.1 is 28 months newer than GPT-3.5 Turbo.

Devstral Small 1.1

Jul 11, 2025

11 months ago

2.3yr newer
GPT-3.5 Turbo

Mar 21, 2023

3.3 years ago

Knowledge Cutoff

When training data ends

GPT-3.5 Turbo has a documented knowledge cutoff of 2021-09-30, while Devstral Small 1.1's cutoff date is not specified.

We can confirm GPT-3.5 Turbo's training data extends to 2021-09-30, but cannot make a direct comparison without Devstral Small 1.1's cutoff date.

Devstral Small 1.1

—

GPT-3.5 Turbo

Sep 2021

Provider Availability

Devstral Small 1.1 is available from Mistral AI. GPT-3.5 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-3.5 Turbo

azure logo
Azure
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
openai logo
OpenAI
Input Price:Input: $0.50/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI
Larger context window (128,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights
OpenAI

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Devstral Small 1.1 and GPT-3.5 Turbo side-by-side, then vote on the output you prefer.

Devstral Small 1.1
✓ Preferred
GPT-3.5 Turbo
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Devstral Small 1.1
OpenAI
GPT-3.5 Turbo

FAQ

Common questions about Devstral Small 1.1 vs GPT-3.5 Turbo.

Which is better, Devstral Small 1.1 or GPT-3.5 Turbo?

Devstral Small 1.1 (Mistral AI) and GPT-3.5 Turbo (OpenAI) 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 GPT-3.5 Turbo in benchmarks?

Devstral Small 1.1 scores SWE-Bench Verified: 53.6%. GPT-3.5 Turbo scores DROP: 70.2%, MMLU: 69.8%, HumanEval: 68.0%, MGSM: 56.3%, MATH: 43.1%.

Is Devstral Small 1.1 cheaper than GPT-3.5 Turbo?

Devstral Small 1.1 is 5.0x cheaper for input tokens. Devstral Small 1.1 costs $0.10/M input and $0.30/M output via mistral. GPT-3.5 Turbo costs $0.50/M input and $1.50/M output via azure.

What are the context window sizes for Devstral Small 1.1 and GPT-3.5 Turbo?

Devstral Small 1.1 supports 128K tokens and GPT-3.5 Turbo supports 16K 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-3.5 Turbo?

Key differences include context window (128K vs 16K), input pricing ($0.10 vs $0.50/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-3.5 Turbo?

Devstral Small 1.1 is developed by Mistral AI and GPT-3.5 Turbo is developed by OpenAI.

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