Gemini 3.5 Flash vs Mistral Medium 3.5

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

Gemini 3.5 Flash

Google · May 2026

Google's I/O 2026 headliner: near-Pro intelligence at Flash speed, 78.8% on SWE-bench Verified with full multimodal input.

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: Mistral Medium 3.5 works out roughly 4.2x cheaper per blended million tokens. Gemini 3.5 Flash also takes 1M of context versus 131K for Mistral Medium 3.5.

Specs & pricing

Gemini 3.5 FlashMistral Medium 3.5
modhub Index
Input price / 1M$1.5$0.4
Output price / 1M$9$2
Context window1M131K
Max output66K
Open weightsnono
Reasoning modelyesno
Multimodal inputtext, image, audio, videotext, image
Knowledge cutoffFeb 2026Dec 2025
ReleasedMay 2026Mar 2026
Example monthly cost*$28.50$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, Gemini 3.5 Flash 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: Mistral Medium 3.5 works out roughly 4.2x cheaper per blended million tokens. Gemini 3.5 Flash also takes 1M of context versus 131K for Mistral Medium 3.5.
Which is cheaper, Gemini 3.5 Flash or Mistral Medium 3.5?
Gemini 3.5 Flash costs $1.5/$9 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 $28.50 versus $7.00.
Which model is better for coding, Gemini 3.5 Flash 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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