DeepSeek-V4-Flash-0731 vs MiniMax M3
DeepSeek-V4-Flash-0731 leads the LLM Stats Score 46.1 to 41.9. DeepSeek-V4-Flash-0731 is 4.7x cheaper per token.
DeepSeek · MiniMax · Updated for 2026
Which is better?
DeepSeek-V4-Flash-0731 leads the overall LLM Stats Score 46.1 to 41.9, ranking #23 overall.
In the 2 individual benchmarks reported for both models, DeepSeek-V4-Flash-0731 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, DeepSeek-V4-Flash-0731 is roughly 4.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Flash-0731 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Flash-0731
- overall performance matters — it scores 46.1 and ranks #23 on LLM Stats
- your work emphasizes agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- cost matters — it's about 4.7x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Jul 2026
Choose MiniMax M3
- you want predictable pricing at $0.30/M input and $1.20/M output
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
9 reported for DeepSeek-V4-Flash-0731 · 35 for MiniMax M3
DeepSeek-V4-Flash-0731 outperforms in 2 benchmarks (NL2Repo, Terminal-Bench 2.1), while MiniMax M3 is better at 0 benchmarks.
DeepSeek-V4-Flash-0731 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Flash-0731 ($0.09/1M tokens) is 3.3x cheaper than MiniMax M3 ($0.30/1M tokens).
For output processing, DeepSeek-V4-Flash-0731 ($0.18/1M tokens) is 6.7x cheaper than MiniMax M3 ($1.20/1M tokens).
In conclusion, MiniMax M3 is more expensive than DeepSeek-V4-Flash-0731.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiniMax M3 has 124.0B more parameters than DeepSeek-V4-Flash-0731, making it 40.8% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Flash-0731 accepts 1,048,576 input tokens compared to MiniMax M3's 512,000 tokens. DeepSeek-V4-Flash-0731 can generate longer responses up to 384,000 tokens, while MiniMax M3 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
MiniMax M3 supports multimodal inputs, whereas DeepSeek-V4-Flash-0731 does not.
MiniMax M3 can handle both text and other forms of data like images, making it suitable for multimodal applications.
DeepSeek-V4-Flash-0731
MiniMax M3
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
DeepSeek-V4-Flash-0731 was released on 2026-07-31, while MiniMax M3 was released on 2026-06-01.
DeepSeek-V4-Flash-0731 is 2 months newer than MiniMax M3.
Jul 31, 2026
4 weeks ago
2mo newerJun 1, 2026
2 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Flash-0731 is available from DeepInfra, Novita, Fireworks. MiniMax M3 is available from Fireworks, MiniMax, Novita, Together.
DeepSeek-V4-Flash-0731
MiniMax M3
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Flash-0731 and MiniMax M3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Flash-0731 vs MiniMax M3.