DeepSeek-V4-Flash-0731 vs MiniMax M3.1 Flash: Specs & Benchmark Comparison

DeepSeek-V4-Flash-0731 is developed by DeepSeek, while MiniMax M3.1 Flash comes from MiniMax. DeepSeek-V4-Flash-0731 was released in July 2026, and MiniMax M3.1 Flash followed 3 months later in October 2026. DeepSeek-V4-Flash-0731 has a published size of about 304 billion parameters; MiniMax has not disclosed the parameter count of MiniMax M3.1 Flash.

The two models share 3 published benchmarks. MiniMax M3.1 Flash leads on 3 of them. The widest gaps are on NL2Repo, where MiniMax M3.1 Flash scores 61.2% against 54.2%; CyberGym, where MiniMax M3.1 Flash scores 82.2% against 77.0%. Averaged across everything we track, DeepSeek-V4-Flash-0731 sits at 57.5% and MiniMax M3.1 Flash at 56.4%.

On price the two are close: DeepSeek-V4-Flash-0731 costs $0.14 per million input tokens and $0.28 per million output tokens, MiniMax M3.1 Flash $0.15 and $0.60. Both accept a context window of about 1M tokens. DeepSeek-V4-Flash-0731 accepts text as input, while MiniMax M3.1 Flash accepts text, images, and video.

CharacteristicDeepSeek-V4-Flash-0731MiniMax M3.1 Flash
CompanyDeepSeekMiniMax
Release DateJuly 31, 2026October 19, 2026
Parameters304B—
MultimodalNoYes
Context (input)1.0M1.0M
Context (output)393K524K
Input Price / 1M$0.14$0.15
Output Price / 1M$0.28$0.60
Average Score57.5%56.4%
Benchmarks
NL2Repo54.2%61.2%
CyberGym77.0%82.2%
Agents' Last Exam25.2%29.6%

Visual Benchmark Comparison

DeepSeek-V4-Flash-0731
MiniMax M3.1 Flash
NL2Repo0.5 vs 0.6
0.5
0.6
CyberGym0.8 vs 0.8
0.8
0.8
Agents' Last Exam0.3 vs 0.3
0.3
0.3

Verdict

Both models show equal results — the choice depends on your specific use case.

Overall Performance

Both models show comparable average scores: DeepSeek-V4-Flash-0731 — 0.6, MiniMax M3.1 Flash — 0.6.

API Cost

DeepSeek-V4-Flash-0731 is 1.8x cheaper: input $0.14/1M vs $0.15/1M tokens.

Context Window

Same context size: 1M tokens.

Recency

MiniMax M3.1 Flash is newer: released 10/19/2026 vs 7/31/2026.

More About These Models

Related Comparisons

Frequently Asked Questions

Which is better for coding — DeepSeek-V4-Flash-0731 or MiniMax M3.1 Flash?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — DeepSeek-V4-Flash-0731 or MiniMax M3.1 Flash?
DeepSeek-V4-Flash-0731 is cheaper for input: $0.14 per 1M tokens vs $0.15.
Which has a larger context window — DeepSeek-V4-Flash-0731 or MiniMax M3.1 Flash?
DeepSeek-V4-Flash-0731 supports a larger context: 1,048,576 tokens vs 1,048,576.

The DeepSeek-V4-Flash-0731 and MiniMax M3.1 Flash comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the DeepSeek-V4-Flash-0731 or MiniMax M3.1 Flash page. See also the complete list of AI model comparisons.