Model Comparison

GPT-5.4 vs Mistral Medium 3.5Which is better in 2026?

GPT-5.4 significantly outperforms across most benchmarks. Mistral Medium 3.5 is 1.9x cheaper per token.

Verdict: GPT-5.4 vs Mistral Medium 3.5 — which is better?

GPT-5.4 (by OpenAI) and Mistral Medium 3.5 (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.

GPT-5.4 outperforms in 1 benchmarks (BrowseComp), while Mistral Medium 3.5 is better at 0 benchmarks. GPT-5.4 significantly outperforms across most benchmarks.

On price, Mistral Medium 3.5 is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GPT-5.4 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GPT-5.4 if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • you process long inputs — it offers a 1,000,000 token context window

Choose Mistral Medium 3.5 if…

  • cost matters — it's about 1.9x cheaper per token
  • you want the most recent training data — it shipped Apr 2026
  • you need open weights you can self-host or fine-tune
Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GPT-5.4 outperforms in 1 benchmarks (BrowseComp), while Mistral Medium 3.5 is better at 0 benchmarks.

GPT-5.4 significantly outperforms across most benchmarks.

Thu Jun 11 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Mistral Medium 3.5 costs less

For input processing, GPT-5.4 ($2.50/1M tokens) is 1.7x more expensive than Mistral Medium 3.5 ($1.50/1M tokens).

For output processing, GPT-5.4 ($15.00/1M tokens) is 2.0x more expensive than Mistral Medium 3.5 ($7.50/1M tokens).

In conclusion, GPT-5.4 is more expensive than Mistral Medium 3.5.*

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

Lowest available price from all providers
Thu Jun 11 2026 • llm-stats.com
OpenAI
GPT-5.4
Input tokens$2.50
Output tokens$15.00
Best providerOpenAI
Mistral AI
Mistral Medium 3.5
Input tokens$1.50
Output tokens$7.50
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GPT-5.4 accepts 1,000,000 input tokens compared to Mistral Medium 3.5's 256,000 tokens. Mistral Medium 3.5 can generate longer responses up to 256,000 tokens, while GPT-5.4 is limited to 128,000 tokens.

OpenAI
GPT-5.4
Input1,000,000 tokens
Output128,000 tokens
Mistral AI
Mistral Medium 3.5
Input256,000 tokens
Output256,000 tokens
Thu Jun 11 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GPT-5.4 and Mistral Medium 3.5 support multimodal inputs.

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

GPT-5.4

Text
Images
Audio
Video

Mistral Medium 3.5

Text
Images
Audio
Video

License

Usage and distribution terms

GPT-5.4 is licensed under a proprietary license, while Mistral Medium 3.5 uses Modified MIT License.

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

GPT-5.4

Proprietary

Closed source

Mistral Medium 3.5

Modified MIT License

Open weights

Release Timeline

When each model was launched

GPT-5.4 was released on 2026-03-05, while Mistral Medium 3.5 was released on 2026-04-29.

Mistral Medium 3.5 is 2 months newer than GPT-5.4.

GPT-5.4

Mar 5, 2026

3 months ago

Mistral Medium 3.5

Apr 29, 2026

1 months ago

1mo 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

GPT-5.4 is available from OpenAI. Mistral Medium 3.5 is available from Mistral AI.

GPT-5.4

openai logo
OpenAI
Input Price:Input: $2.50/1MOutput Price:Output: $15.00/1M

Mistral Medium 3.5

mistral logo
Mistral
Input Price:Input: $1.50/1MOutput Price:Output: $7.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

OpenAI
Larger context window (1,000,000 tokens)
Higher BrowseComp score (82.7% vs 48.6%)
Mistral AI
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
OpenAI
GPT-5.4
Mistral AI
Mistral Medium 3.5

FAQ

Common questions about GPT-5.4 vs Mistral Medium 3.5.

Which is better, GPT-5.4 or Mistral Medium 3.5?

GPT-5.4 significantly outperforms across most benchmarks. GPT-5.4 is made by OpenAI and Mistral Medium 3.5 is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GPT-5.4 compare to Mistral Medium 3.5 in benchmarks?

GPT-5.4 scores Tau2 Telecom: 98.9%, ARC-AGI: 93.7%, Graphwalks BFS <128k: 93.0%, GPQA: 92.8%, Graphwalks parents <128k: 89.8%. Mistral Medium 3.5 scores COLLIE: 95.8%, Tau3 Telecom: 91.4%, AIME 2025: 86.3%, SWE-Bench Verified: 77.6%, Tau3 Retail: 76.1%.

Is GPT-5.4 cheaper than Mistral Medium 3.5?

Mistral Medium 3.5 is 1.7x cheaper for input tokens. GPT-5.4 costs $2.50/M input and $15.00/M output via openai. Mistral Medium 3.5 costs $1.50/M input and $7.50/M output via mistral.

What are the context window sizes for GPT-5.4 and Mistral Medium 3.5?

GPT-5.4 supports 1.0M tokens and Mistral Medium 3.5 supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GPT-5.4 and Mistral Medium 3.5?

Key differences include context window (1.0M vs 256K), input pricing ($2.50 vs $1.50/M), licensing (Proprietary vs Modified MIT License). See the full comparison above for benchmark-by-benchmark results.

Who makes GPT-5.4 and Mistral Medium 3.5?

GPT-5.4 is developed by OpenAI and Mistral Medium 3.5 is developed by Mistral AI.

Related comparisons