AI model comparison

Gemma 3 4B vs Mistral Nemo

Side by side comparison of Gemma 3 4B and Mistral Nemo on pricing, benchmark scores, context window, and more.

Gemma 3 introduces multimodality, supporting vision-language input and text outputs.

Input / 1M
$0.04
Output / 1M
$0.05
Context
131K

A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA.

Input / 1M
$0.03
Output / 1M
$0.03
Context
131K

Comparing image generators? Compare image models

At a glance

Quick verdict

How the two models stack up on the things people ask about most.

Lower price

mistralai logo

Mistral Nemo

1.4x cheaper for a typical chat

Higher intelligence score

Not available

Not enough benchmark data

Larger context window

Tie

131K vs 131K tokens

Newer release

google logo

Gemma 3 4B

Released March 13, 2025

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

google logoGemma 3 4B4.8
mistralai logoMistral NemoNot available

Coding index

google logoGemma 3 4B2.7
mistralai logoMistral NemoNot available

Agentic index

google logoGemma 3 4BNot available
mistralai logoMistral NemoNot available

Pricing

Gemma 3 4B vs Mistral Nemo API pricing

Per-token API rates. Cheaper option highlighted.

Metricgoogle logoGemma 3 4Bmistralai logoMistral Nemo
Input tokensPer 1M tokens$0.04$0.03
Output tokensPer 1M tokens$0.05$0.03
Cached input (read)Per 1M tokens$0.02Not available
Cache writePer 1M tokensNot availableNot available

What it costs in practice

Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.

Chat message

2K in, 500 out

google logoGemma 3 4B$0.11
mistralai logoMistral Nemo$0.07

Coding task

30K in, 4K out

google logoGemma 3 4B$1.40$0.80 cached
mistralai logoMistral Nemo$0.99

Long document summary

150K in, 2K out

google logoGemma 3 4B$6.10$3.10 cached
mistralai logoMistral Nemo$4.41

Specs

Context window and capabilities

How much each model can read, how much it can write, and what it accepts as input.

Metricgoogle logoGemma 3 4Bmistralai logoMistral Nemo
Context window131K tokens131K tokens
Max output118K tokens16K tokens
Input typesImage, TextText
Output typesTextText
Reasoning effort levelsNot availableNot available
Default reasoning effortNot availableNot available
Release dateMarch 13, 2025July 19, 2024

Features

Supported features

API features available for each model.

Metricgoogle logoGemma 3 4Bmistralai logoMistral Nemo
Tool callingNot supportedSupported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningNot supportedNot supported
TemperatureSupportedSupported
Stop sequencesSupportedSupported
Deterministic seedSupportedSupported
Verbosity controlNot supportedNot supported

Our take

Mistral Nemo is 1.4x cheaper for a typical chat. The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.

FAQ

Frequently asked questions

Is Gemma 3 4B or Mistral Nemo cheaper?

Mistral Nemo is cheaper for a typical chat (2K input tokens and 500 output tokens). Mistral Nemo costs $0.03 per 1M input tokens and $0.03 per 1M output tokens, while Gemma 3 4B costs $0.04 per 1M input tokens and $0.05 per 1M output tokens.

Which has a bigger context window, Gemma 3 4B or Mistral Nemo?

Gemma 3 4B supports up to 131K tokens of context, compared with 131K for Mistral Nemo.

Can I use Gemma 3 4B and Mistral Nemo at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Gemma 3 4B and Mistral Nemo answer side by side and keep the better response.

google logomistralai logo

Why choose? Ask both.

Send one prompt to Gemma 3 4B and Mistral Nemo at the same time. Compare the answers side by side and keep the best one.