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MiniMax M3.1 Flash vs DeepSeek V4.1 Flash
DeepSeek V4.1 Flash scores higher than MiniMax M3.1 Flash on all 4 public leaderboards that rate both. On the ArtificialWatch Index, which takes the median of each model's percentile across the boards that score it, MiniMax M3.1 Flash is at 33.3 and DeepSeek V4.1 Flash at 58.7 (out of 100).
Scores as published by each board; table composed November 13, 2026.
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Leaderboard by leaderboard
| Board | MiniMax M3.1 Flash | DeepSeek V4.1 Flash | Higher |
|---|---|---|---|
| LMArena Elo (community votes) | 1,583.9 | 1,663.7 | DeepSeek V4.1 Flash |
| LiveBench global average (0-100) | 63.7 | 70.3 | DeepSeek V4.1 Flash |
| Vals AI Vals Index accuracy % · weighted finance + coding tasks | 53.8 | 61.3 | DeepSeek V4.1 Flash |
| Artificial Analysis intelligence index · measured runs only | 29.1 | 32.6 | DeepSeek V4.1 Flash |
Raw scores are each board's own scale, so compare within a row, not across rows. Full table: the bench index.
For coding
On the ArtificialWatch coding index, MiniMax M3.1 Flash is at 29.8 (#37 of 48) and DeepSeek V4.1 Flash at 70.4 (#13). DeepSeek V4.1 Flash scores higher on both coding boards that rate them.
| Coding board | MiniMax M3.1 Flash | DeepSeek V4.1 Flash |
|---|---|---|
| LiveBench · Coding | 68.8 | 80.4 |
| Vals Vibe Code Bench | 73.9 | 87.7 |
MiniMax M3.1 Flash at a glance
- Developer
- MiniMax
- Status
- Live since October 19, 2026
- API price
- $0.15 input / $0.60 output per 1M tokens · MiniMax, MiniMax-M3.1-Flash
- Context window
- 1M tokens
Live — Oct 19 · rolled out Oct 19 (MiniMax's launch post) · $0.15/$0.60 per 1M, cached input $0.015, flat · 1M context · on the MiniMax API, M Plan and MiniMax Code; weights 'will be released later' · MiniMax's own figures: DeepSWE v1.1 73.7%, OSWorld V2 61.7, Agents' Last Exam 29.6, CyberGym 82%, BankerToolBench 76.2 · MiniMax says agentic tasks cost 70% less than on its predecessor, with 200+ tokens/s output · Space Bunny, the anonymous stealth model on OpenRouter and OpenCode from Sep 23, was an early version, per MiniMax · Artificial Analysis Intelligence Index 42 on launch day, against 45 for DeepSeek V4.1 Flash 1017 at the same off-peak price · preview Sep 27 in MiniMax Code as M3.1-Flash-Preview.
MiniMax rolls out M3.1 Flash at $0.15 / $0.60: the Space Bunny stealth model was an early version
2026-10-19 · MiniMax officially rolled out M3.1 Flash on October 19 and named it as the model behind Space Bunny, the anonymous stealth model that appeared free on OpenRouter and OpenCode on September 23.
DeepSeek V4.1 Flash at a glance
- Developer
- DeepSeek
- Status
- Live since September 10, 2026
Live — Sep 10 · 1M ctx · $0.15/$0.60 per 1M as our sweep read it, which is DeepSeek's off-peak rate (peak hours on weekdays cost double, $0.30/$1.20, per its pricing page) · DeepSeek serves it under the unversioned id deepseek-flash, so the id itself never carries the version · Oct 17: upgraded in place to the 1017 checkpoint (DeepSeek-V4.1-Flash-1017, per DeepSeek's changelog), same deepseek-flash id and price, web and app updated too; open weights on Hugging Face as deepseek-ai/DeepSeek-V4.1-Flash-1017 (MIT, same config.json as the Sep 10 weights); OpenRouter lists it as deepseek/deepseek-v4.1-flash-1017 at $0.15/$0.60, 1M ctx, 384K max output · Oct 19: the Vals Index (updated Oct 18) scores the 1017 build 56.58%, #14 of 50 and the top open-weight model there, up from 51.32% for the Sep 10 build; $0.64 per test on Vals' run, against $0.33 for the Sep 10 build · Oct 19: DHS ordered DeepSeek products, and third-party products built on DeepSeek, excluded from and removed from US federal civilian agencies (Federal Register 2026-21447, publishing Oct 20) · Oct 20: DeepSeek open-sourced DeepInfer (Apache-2.0), the inference engine it serves V4.1 Flash with, for NVIDIA SM100 GPUs and Huawei Ascend 950 NPUs · Oct 20: Vals says the 1017 build completed 16.3 of 21 objectives on its coming offensive-cybersecurity benchmark, against 15.7 for GPT-6 Sol, on several times the tokens (a first finding; the full evaluation is due in the coming weeks).
DeepSeek open-sources DeepInfer, the engine behind V4.1 Flash, built for NVIDIA Blackwell and Huawei Ascend 950
2026-10-20 · DeepSeek released DeepInfer, the inference framework it says serves DeepSeek-V4.1-Flash at scale, as open source on October 20 under the Apache 2.0 license.
Vals: DeepSeek V4.1 Flash beat GPT-6 Sol on its offensive cybersecurity task, using about five times the tokens
2026-10-20 · Vals AI says DeepSeek V4.1 Flash 1017, an open-weight model, completed more objectives than OpenAI's GPT-6 Sol on a multi-step offensive cybersecurity task built on simulated corporate networks.
MiniMax M3.1 Flash vs DeepSeek V4.1 Flash: quick answers
Which is better, MiniMax M3.1 Flash or DeepSeek V4.1 Flash?
It depends on what you measure. DeepSeek V4.1 Flash scores higher than MiniMax M3.1 Flash on all 4 public leaderboards that rate both. DeepSeek V4.1 Flash's widest lead is on Vals AI. On the ArtificialWatch Index, which takes the median of each model's percentile across the boards that score it, MiniMax M3.1 Flash is at 33.3 and DeepSeek V4.1 Flash at 58.7 (out of 100).
Which is newer, MiniMax M3.1 Flash or DeepSeek V4.1 Flash?
MiniMax M3.1 Flash. It went live on October 19, 2026, 39 days after DeepSeek V4.1 Flash (September 10, 2026).
How do MiniMax M3.1 Flash and DeepSeek V4.1 Flash compare for coding?
On the ArtificialWatch coding index, MiniMax M3.1 Flash is at 29.8 (#37 of 48) and DeepSeek V4.1 Flash at 70.4 (#13). DeepSeek V4.1 Flash scores higher on both coding boards that rate them.
Who makes MiniMax M3.1 Flash and DeepSeek V4.1 Flash?
MiniMax M3.1 Flash is from MiniMax; DeepSeek V4.1 Flash is from DeepSeek.
Where do these numbers come from?
Each score is the leaderboard's own published figure, read by ArtificialWatch (table composed November 13, 2026). Boards measure different things, so raw scores are only comparable within a row.
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