DeepSeek-V4.1-Flash vs MiMo V2.6 Flash RL
Wins 5 of 6 areas
Coding · Agents · Reasoning · Images and charts · Long documents
Wins 0 of 6 areas
—
DeepSeek-V4.1-Flash is the stronger all-rounder.MiMo V2.6 Flash RL is cheaper.
Scores updated · 23 tests both models report · How we compare
Where each one wins
Tests won in each of the six areas where both have results. Each piece is one test, so a longer bar means more evidence; grey means the two scored within a point of each other.
- ReasoningHard problems that need careful thinking20DeepSeek-V4.1-Flash2 of 2 tests
- Images and chartsUnderstanding pictures, charts and video20DeepSeek-V4.1-Flash2 of 2 tests
- CodingWriting and fixing software21DeepSeek-V4.1-Flash2 of 3 tests
- AgentsCarrying out multi-step tasks on its own10DeepSeek-V4.1-Flash1 of 2 tests · 1 tie
- Long documentsFinding answers in very long texts10DeepSeek-V4.1-Flash1 of 1 test
- FactsGetting facts right instead of making them up11Even1 each
Long documents rests on a single test.
What it costs
Prices per million tokens, roughly 750,000 words. The bars show the cost of a million tokens read plus a million written.
MiMo V2.6 Flash RL costs 72% less for the same work.
The biggest differences
The tests each model wins by the widest margin, up to three each. Scores are out of 100.
Where DeepSeek-V4.1-Flash pulls ahead
- Answers hard knowledge questions correctlyAA-Omniscience · Accuracy+19.4points ahead
- Research-level physics problemsCritPt+12points ahead
- Complex command-line tasks across many fieldsTerminal-Bench 4.0+11.1points ahead
Where MiMo V2.6 Flash RL pulls ahead
- Avoids making up answers it doesn't knowAA-Omniscience · Non-hallucination+42.1points ahead
Every test, side by side
All 23 tests both models report. The winning score is in its model's colour; marks a score checked independently.
CodingDeepSeek-V4.1-Flash
- SciCodeDeepSeek-V4.1-Flash by 4.655.951.3+4.6
- Terminal-Bench 2.1DeepSeek-V4.1-Flash by 390.687.6+3
- LMArena · WebDevMiMo V2.6 Flash RL by 17 rating points16211638+17 rating
AgentsDeepSeek-V4.1-Flash
- Terminal-Bench 4.0DeepSeek-V4.1-Flash by 11.133.822.7+11.1
- GDPValtie5555.4tie
ReasoningDeepSeek-V4.1-Flash
- CritPtDeepSeek-V4.1-Flash by 122412+12
- Humanity's Last ExamDeepSeek-V4.1-Flash by 8.243.335.1+8.2
FactsEven
- AA-Omniscience · Non-hallucinationMiMo V2.6 Flash RL by 42.13.545.6+42.1
- AA-Omniscience · AccuracyDeepSeek-V4.1-Flash by 19.446.427+19.4
Images and chartsDeepSeek-V4.1-Flash
- MMMU-ProDeepSeek-V4.1-Flash by 7.580.673.1+7.5
- LMArena · VisionDeepSeek-V4.1-Flash by 19 rating points12791260+19 rating
Long documentsDeepSeek-V4.1-Flash
- AA-LCRDeepSeek-V4.1-Flash by 8.482.774.3+8.4
Other results11 tests, not counted
Tests outside the eight areas. They are not counted above: several are summary scores built from other tests, or the same test under another name.
- HLE-DiamondDeepSeek-V4.1-Flash by 11.625.313.7+11.6
- Terminal-Bench-Science 0.1DeepSeek-V4.1-Flash by 8.612.94.3+8.6
- GDP (Surge AI)DeepSeek-V4.1-Flash by 8.217.29+8.2
- AA-OmniscienceDeepSeek-V4.1-Flash by 7.4-5.3-12.7+7.4
- CyberGymMiMo V2.6 Flash RL by 788.195.1+7
- DeepSWE 1.1DeepSeek-V4.1-Flash by 6.374.267.9+6.3
- Program BenchMiMo V2.6 Flash RL by 5.720.326+5.7
- CritPt v2 HardMiMo V2.6 Flash RL by 4.52529.5+4.5
- Agents' Last ExamDeepSeek-V4.1-Flash by 4.231.827.6+4.2
- Terminal-Bench 4.0DeepSeek-V4.1-Flash by 2.431.228.8+2.4
- AA IntelligenceDeepSeek-V4.1-Flash by 1.639.537.9+1.6
Questions people ask
Which is better, DeepSeek-V4.1-Flash or MiMo V2.6 Flash RL?
DeepSeek-V4.1-Flash wins five of the six areas where both have results: coding, agents, reasoning, images and charts and long documents. MiMo V2.6 Flash RL wins none, but costs 72% less. They are level on facts.
Which is better for coding?
DeepSeek-V4.1-Flash. It wins 2 of the 3 coding tests both models report; MiMo V2.6 Flash RL wins 1.
Which is cheaper?
DeepSeek-V4.1-Flash costs $0.30 per million input tokens and $1.20 per million output tokens; MiMo V2.6 Flash RL costs $0.14 and $0.28. That makes MiMo V2.6 Flash RL about 72% cheaper for the same work.
How do you compare the two?
We use the 23 benchmark tests both models have published scores on. The verdict counts the 12 tests in the eight capability areas, and a gap under one point (ten on rating-style scales) counts as a tie. The other 11 are listed but not counted, because several are summary scores or repeat a test. Each score is the one shown on the model's own page.