GPT-5 nano vs Mistral Medium 3.5

Benchmarks, API pricing and specs, head to head. Data updated 2026-06-10.

GPT-5 nano

OpenAI · Aug 2025

OpenAI's cheapest model — $0.05 per million input tokens — for latency-critical routing, autocomplete and bulk tagging.

Mistral Medium 3.5

Mistral AI · Mar 2026

Europe's strongest model line: frontier-adjacent quality at $0.40/$2 with EU data residency and on-prem options.

The verdict

These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. On price the gap is dramatic: GPT-5 nano works out roughly 5.8x cheaper per blended million tokens. GPT-5 nano also takes 400K of context versus 131K for Mistral Medium 3.5.

Specs & pricing

GPT-5 nanoMistral Medium 3.5
modhub Index
Input price / 1M$0.05$0.4
Output price / 1M$0.4$2
Context window400K131K
Max output128K
Open weightsnono
Reasoning modelyesno
Multimodal inputtext, imagetext, image
Knowledge cutoffMay 2024Dec 2025
ReleasedAug 2025Mar 2026
Example monthly cost*$1.10$7.00

* 10M input + 1.5M output tokens per month at list prices, no caching. Green = better value on that row.

Frequently asked questions

Which is better, GPT-5 nano or Mistral Medium 3.5?
These two models don't yet share verified results on the benchmarks we track, so judge them on specs, pricing and intended use. On price the gap is dramatic: GPT-5 nano works out roughly 5.8x cheaper per blended million tokens. GPT-5 nano also takes 400K of context versus 131K for Mistral Medium 3.5.
Which is cheaper, GPT-5 nano or Mistral Medium 3.5?
GPT-5 nano costs $0.05/$0.4 per million input/output tokens, while Mistral Medium 3.5 costs $0.4/$2. For a typical workload of 10M input and 1.5M output tokens per month, that's $1.10 versus $7.00.
Which model is better for coding, GPT-5 nano or Mistral Medium 3.5?
We don't yet track SWE-bench Verified results for both models; check their individual pages for coding-related scores.

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