AI model comparison

MiMo-V2.6-Flash vs Mistral Nemo

Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.

MiMo-V2.6-Flash is an open-source foundation model developed by Xiaomi.

Input / 1M
$0.14
Output / 1M
$0.28
Context
1.05M

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

At a glance

Quick verdict

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

Lower price

mistralai logo

Mistral Nemo

5.8x cheaper for a typical chat

Higher intelligence score

Tie

Not enough benchmark data

Larger context window

xiaomi logo

MiMo-V2.6-Flash

1.05M vs 131K tokens

Newer release

xiaomi logo

MiMo-V2.6-Flash

Released September 21, 2026

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

xiaomi logoMiMo-V2.6-Flash37.9
mistralai logoMistral NemoNot available

Coding index

xiaomi logoMiMo-V2.6-FlashNot available
mistralai logoMistral NemoNot available

Agentic index

xiaomi logoMiMo-V2.6-FlashNot available
mistralai logoMistral NemoNot available

Pricing

MiMo-V2.6-Flash vs Mistral Nemo API pricing

Per-token API rates. Cheaper option highlighted.

Metricxiaomi logoMiMo-V2.6-Flashmistralai logoMistral Nemo
Input tokensPer 1M tokens$0.14$0.03
Output tokensPer 1M tokens$0.28$0.03
Cached input (read)Per 1M tokens$0.00Not 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

xiaomi logoMiMo-V2.6-Flash$0.42
mistralai logoMistral Nemo$0.07

Coding task

30K in, 4K out

xiaomi logoMiMo-V2.6-Flash$5.32$1.20 cached
mistralai logoMistral Nemo$0.99

Long document summary

150K in, 2K out

xiaomi logoMiMo-V2.6-Flash$21.56$0.98 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.

Metricxiaomi logoMiMo-V2.6-Flashmistralai logoMistral Nemo
Context window1.05M tokens131K tokens
Max output131K tokens16K tokens
Input typesAudio, Image, Text, VideoText
Output typesTextText
Reasoning effort levelsNot availableNot available
Default reasoning effortNot availableNot available
Release dateSeptember 21, 2026July 19, 2024

Features

Supported features

API features available for each model.

Metricxiaomi logoMiMo-V2.6-Flashmistralai logoMistral Nemo
Tool callingSupportedSupported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningSupportedNot supported
TemperatureSupportedSupported
Stop sequencesSupportedSupported
Deterministic seedSupportedSupported
Verbosity controlNot supportedNot supported

Our take

Mistral Nemo is 5.8x cheaper for a typical chat. MiMo-V2.6-Flash has the larger context window (1.05M vs 131K tokens). 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 MiMo-V2.6-Flash 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 MiMo-V2.6-Flash costs $0.14 per 1M input tokens and $0.28 per 1M output tokens.

Which has a bigger context window, MiMo-V2.6-Flash or Mistral Nemo?

MiMo-V2.6-Flash supports up to 1.05M tokens of context, compared with 131K for Mistral Nemo.

Can I use MiMo-V2.6-Flash and Mistral Nemo at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see MiMo-V2.6-Flash and Mistral Nemo answer side by side and keep the better response.

xiaomi logomistralai logo

Why choose? Ask both.

Send one prompt to MiMo-V2.6-Flash and Mistral Nemo at the same time. Compare the answers side by side and keep the best one.