█

AI/TLDR

Buy me a coffee
Buy me a coffee
PROMOTE YOUR WEBSITE IN JUST $20

Model comparison

Mistral Small 3.2 vs Gemini 2.0 Flash

Mistral AIMistral Small 3.2
Input
$0.10
Output
$0.30
Context
128K
Released
2025-06-20
Full model page →GoogleGemini 2.0 Flash
Input
$0.10 / 1M tokens (text, image, or video); $0.70 / 1M tokens for audio
Output
$0.40 / 1M tokens
Context
1,048,576 tokens (1M)
Released
2025-02-05
Full model page →
Short answer

Gemini 2.0 Flash scores higher on 4 of the 4 benchmarks both models report; both charge the same $0.1 per 1M input tokens; Gemini 2.0 Flash has the larger context window (1.048576M vs 128K); Mistral Small 3.2 ships open weights while Gemini 2.0 Flash is API-only.

Specs and pricing side by side

SpecMistral Small 3.2Gemini 2.0 Flash
MakerMistral AIGoogle
Released2025-06-202025-02-05
Context window128K1,048,576 tokens (1M)
Max outputnot published8,192 tokens
Input price$0.10$0.10 / 1M tokens (text, image, or video); $0.70 / 1M tokens for audio
Output price$0.30$0.40 / 1M tokens
Parameters24BUndisclosed — Google never published the parameter count
LicenseApache 2.0Proprietary (Google) — closed source, served only via API
WeightsOpen weightsAPI only
ModalitiesText, Visiontext input, image input, audio input, video input, text output
Knowledge cutoffOctober 2023August 2024

Benchmarks both models report

BenchmarkMistral Small 3.2Gemini 2.0 Flash
MMLU Pro69.06%76.4%
MATH69.42%89.7%
GPQA Diamond46.13%62.1%
MMMU62.5%70.7%

Scores are as published by each maker or its cited source; harness, reasoning effort and date can differ between rows, so treat small gaps as ties. Sources are listed on each model page.

Which one should you pick?

Pick Mistral Small 3.2 if…

  • You want to self-host or fine-tune (open weights, Apache 2.0).
  • You need Text / Vision input, which Gemini 2.0 Flash lacks.
  • Your use case is: self-hosted chat assistants and internal copilots where data must stay on-premise.

Pick Gemini 2.0 Flash if…

  • You care about MMLU Pro, MATH, GPQA Diamond (it scores higher on 4 shared benchmarks).
  • You need the longer context (1.048576M vs 128K).
  • You need text input / image input / audio input / video input / text output input, which Mistral Small 3.2 lacks.
  • Your use case is: high-volume, cost-sensitive text generation, summarization, and classification.

FAQ

Which is better, Mistral Small 3.2 or Gemini 2.0 Flash?

Gemini 2.0 Flash scores higher on 4 of the 4 benchmarks both models report; both charge the same $0.1 per 1M input tokens; Gemini 2.0 Flash has the larger context window (1.048576M vs 128K); Mistral Small 3.2 ships open weights while Gemini 2.0 Flash is API-only. The better pick depends on whether you value benchmark scores, price per token, context length or openness for your workload.

How do Mistral Small 3.2 and Gemini 2.0 Flash pricing compare?

Mistral Small 3.2: $0.10 input, $0.30 output. Gemini 2.0 Flash: $0.10 / 1M tokens (text, image, or video); $0.70 / 1M tokens for audio input, $0.40 / 1M tokens output (list API prices as published by each maker).

What are the context windows of Mistral Small 3.2 and Gemini 2.0 Flash?

Mistral Small 3.2 offers 128K; Gemini 2.0 Flash offers 1,048,576 tokens (1M) with up to 8,192 tokens output.

Is Mistral Small 3.2 newer than Gemini 2.0 Flash?

Mistral Small 3.2 was released 2025-06-20; Gemini 2.0 Flash was released 2025-02-05.

Go deeper