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AI model comparison

DeepSeek V4 Flash 0423 vs MiMo-V2.5-Pro

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

deepseek logo

DeepSeek

DeepSeek V4 Flash 0423

DeepSeek V4 Flash is an efficiency-optimized Mixture-of-Experts model from DeepSeek with 284B total parameters and 13B activated parameters, supporting a 1M-token context window.

Input / 1M
$0.01
Output / 1M
$1.28
Context
1.05M
xiaomi logo

Xiaomi

MiMo-V2.5-Pro

MiMo-V2.5-Pro is Xiaomi’s flagship model, delivering strong performance in general agentic capabilities, complex software engineering, and long-horizon tasks, with top rankings on benchmarks such as ClawEval, GDPVal, and SWE-bench Pro.

Input / 1M
$0.44
Output / 1M
$0.87
Context
1.05M

At a glance

Quick verdict

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

Lower price

deepseek logo

DeepSeek V4 Flash 0423

2.0x cheaper for a typical chat

Higher intelligence score

xiaomi logo

MiMo-V2.5-Pro

26 vs 24.4 on Artificial Analysis

Larger context window

xiaomi logo

MiMo-V2.5-Pro

1.05M vs 1.05M tokens

Newer release

deepseek logo

DeepSeek V4 Flash 0423

Released April 24, 2026

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

deepseek logoDeepSeek V4 Flash 042324.4
xiaomi logoMiMo-V2.5-Pro26

Coding index

deepseek logoDeepSeek V4 Flash 042352
xiaomi logoMiMo-V2.5-Pro60.2

Agentic index

deepseek logoDeepSeek V4 Flash 042326.3
xiaomi logoMiMo-V2.5-Pro21.3

Pricing

DeepSeek V4 Flash 0423 vs MiMo-V2.5-Pro API pricing

Per-token API rates. Cheaper option highlighted.

Metricdeepseek logoDeepSeek V4 Flash 0423xiaomi logoMiMo-V2.5-Pro
Input tokensPer 1M tokens$0.01$0.44
Output tokensPer 1M tokens$1.28$0.87
Cached input (read)Per 1M tokens$0.01$0.00
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

deepseek logoDeepSeek V4 Flash 0423$0.66
xiaomi logoMiMo-V2.5-Pro$1.31

Coding task

30K in, 4K out

deepseek logoDeepSeek V4 Flash 0423$5.42$5.42 cached
xiaomi logoMiMo-V2.5-Pro$16.53$3.59 cached

Long document summary

150K in, 2K out

deepseek logoDeepSeek V4 Flash 0423$4.05$4.05 cached
xiaomi logoMiMo-V2.5-Pro$66.99$2.28 cached

Specs

Context window and capabilities

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

Metricdeepseek logoDeepSeek V4 Flash 0423xiaomi logoMiMo-V2.5-Pro
Context window1.05M tokens1.05M tokens
Max output944K tokens131K tokens
Input typesTextText
Output typesTextText
Reasoning effort levelsExtra high, HighNot available
Default reasoning effortHighNot available
Release dateApril 24, 2026April 22, 2026

Features

Supported features

API features available for each model.

Metricdeepseek logoDeepSeek V4 Flash 0423xiaomi logoMiMo-V2.5-Pro
Tool callingSupportedSupported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningSupportedSupported
TemperatureSupportedSupported
Stop sequencesSupportedSupported
Deterministic seedSupportedSupported
Verbosity controlNot supportedNot supported

Our take

DeepSeek V4 Flash 0423 is 2.0x cheaper for a typical chat. MiMo-V2.5-Pro scores higher on the Artificial Analysis Intelligence Index (26 vs 24.4). MiMo-V2.5-Pro has the larger context window (1.05M vs 1.05M 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 DeepSeek V4 Flash 0423 or MiMo-V2.5-Pro cheaper?

DeepSeek V4 Flash 0423 is cheaper for a typical chat (2K input tokens and 500 output tokens). DeepSeek V4 Flash 0423 costs $0.01 per 1M input tokens and $1.28 per 1M output tokens, while MiMo-V2.5-Pro costs $0.44 per 1M input tokens and $0.87 per 1M output tokens.

Which has a bigger context window, DeepSeek V4 Flash 0423 or MiMo-V2.5-Pro?

MiMo-V2.5-Pro supports up to 1.05M tokens of context, compared with 1.05M for DeepSeek V4 Flash 0423.

Is DeepSeek V4 Flash 0423 smarter than MiMo-V2.5-Pro?

On the Artificial Analysis Intelligence Index, DeepSeek V4 Flash 0423 scores 24.4 and MiMo-V2.5-Pro scores 26, putting MiMo-V2.5-Pro ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.

Can I use DeepSeek V4 Flash 0423 and MiMo-V2.5-Pro at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see DeepSeek V4 Flash 0423 and MiMo-V2.5-Pro answer side by side and keep the better response.

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Why choose? Ask both.

Send one prompt to DeepSeek V4 Flash 0423 and MiMo-V2.5-Pro at the same time. Compare the answers side by side and keep the best one.

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