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AI model comparison

DeepSeek V4 Flash 0423 vs MiniMax M2

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

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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
minimax logo

MiniMax

MiniMax M2

MiniMax-M2 is a compact, high-efficiency large language model optimized for end-to-end coding and agentic workflows.

Input / 1M
$0.30
Output / 1M
$1.20
Context
205K

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

1.8x cheaper for a typical chat

Higher intelligence score

deepseek logo

DeepSeek V4 Flash 0423

24.4 vs 18.6 on Artificial Analysis

Larger context window

deepseek logo

DeepSeek V4 Flash 0423

1.05M vs 205K tokens

Newer release

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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
minimax logoMiniMax M218.6

Coding index

deepseek logoDeepSeek V4 Flash 042352
minimax logoMiniMax M2Not available

Agentic index

deepseek logoDeepSeek V4 Flash 042326.3
minimax logoMiniMax M2Not available

Pricing

DeepSeek V4 Flash 0423 vs MiniMax M2 API pricing

Per-token API rates. Cheaper option highlighted.

Metricdeepseek logoDeepSeek V4 Flash 0423minimax logoMiniMax M2
Input tokensPer 1M tokens$0.01$0.30
Output tokensPer 1M tokens$1.28$1.20
Cached input (read)Per 1M tokens$0.01Not 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

deepseek logoDeepSeek V4 Flash 0423$0.66
minimax logoMiniMax M2$1.20

Coding task

30K in, 4K out

deepseek logoDeepSeek V4 Flash 0423$5.42$5.42 cached
minimax logoMiniMax M2$13.80

Long document summary

150K in, 2K out

deepseek logoDeepSeek V4 Flash 0423$4.05$4.05 cached
minimax logoMiniMax M2$47.40

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 0423minimax logoMiniMax M2
Context window1.05M tokens205K tokens
Max output944K tokens177K tokens
Input typesTextText
Output typesTextText
Reasoning effort levelsExtra high, HighNot available
Default reasoning effortHighNot available
Release dateApril 24, 2026October 23, 2025

Features

Supported features

API features available for each model.

Metricdeepseek logoDeepSeek V4 Flash 0423minimax logoMiniMax M2
Tool callingSupportedSupported
Structured outputsSupportedSupported
JSON modeSupportedSupported
ReasoningSupportedSupported
TemperatureSupportedSupported
Stop sequencesSupportedSupported
Deterministic seedSupportedSupported
Verbosity controlNot supportedNot supported

Our take

DeepSeek V4 Flash 0423 is 1.8x cheaper for a typical chat. DeepSeek V4 Flash 0423 scores higher on the Artificial Analysis Intelligence Index (24.4 vs 18.6). DeepSeek V4 Flash 0423 has the larger context window (1.05M vs 205K 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 MiniMax M2 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 MiniMax M2 costs $0.30 per 1M input tokens and $1.20 per 1M output tokens.

Which has a bigger context window, DeepSeek V4 Flash 0423 or MiniMax M2?

DeepSeek V4 Flash 0423 supports up to 1.05M tokens of context, compared with 205K for MiniMax M2.

Is DeepSeek V4 Flash 0423 smarter than MiniMax M2?

On the Artificial Analysis Intelligence Index, DeepSeek V4 Flash 0423 scores 24.4 and MiniMax M2 scores 18.6, putting DeepSeek V4 Flash 0423 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 MiniMax M2 at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see DeepSeek V4 Flash 0423 and MiniMax M2 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 MiniMax M2 at the same time. Compare the answers side by side and keep the best one.

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