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MiMo V2.6 Flash

Xiaomi · 311B · open weights

Strongest in Cybersecurity (#7 of 47), weakest in Safety (#276 of 329). Above par in 16 of 23 scopes. Among the models it meets almost everywhere, it finishes behind Gemini 4 Argon and Claude Fable 5 and ahead of Qwen3 235B A22B Instruct and GPT-4.1.

§ 1 · Profile

What it is good at

Bars run from 50 — the average of the models each source lists — so right of the line is above par. The middle column is the gap to whoever leads that scope.

Agents59#20/298
Knowledge work64.4#25/208
Coding55.2#33/179
Agentic coding55.6#33/173
Human preference61.3#68/354
Human preference61.3#68/354
Professional52.2#70/194
Cybersecurity59.4#7/47
Biology research49.5#18/31
IT operations42.3#19/33
Finance55.5#42/162
Legal52.6#72/173
Medical52.3#74/149
Reasoning50.7#93/195
Mathematics51.1#79/152
Core abilities50.2#95/199
General intelligence50.3#83/178
Safety45.5#276/329
Toxicity avoidance53.9#129/268
Secure code48.2#174/270
Harm refusal46.2#219/292
Jailbreak resistance33.9#236/268
Fairness42.5#244/292

§ 2 · Head to head

What it beats, and what beats it

The same models turn up scope after scope. Counted once: where both were placed, who finished higher. Bars run right for MiMo V2.6 Flash, left for the other.

Mistral Medium 3.5won 14 · lost 0
Inkling Smallwon 15 · lost 0
Mistral Large 3won 14 · lost 1
Qwen3.8 27Bwon 14 · lost 1
Step 5won 14 · lost 1
GPT-5.4 miniwon 13 · lost 1
Gemini 3.5 Flash-Litewon 13 · lost 2
DeepSeek V3won 17 · lost 3
GPT-5.4 nanowon 12 · lost 3
Command Awon 15 · lost 4
Magistral Small 1.2won 11 · lost 3
Gemini 2.0 Flashwon 14 · lost 4
GPT-4.1 nanowon 15 · lost 5
GPT-4.1 miniwon 15 · lost 5
Kimi K2won 14 · lost 5
Kimi K2.6won 14 · lost 5
DeepSeek V4 Flashwon 16 · lost 6
Llama 4 Scout Instructwon 13 · lost 5
Grok 3won 13 · lost 5
Gemini 1.5 Prowon 10 · lost 4
Gemini 2.5 Flash-Litewon 10 · lost 4
Claude 3.5 Haikuwon 12 · lost 5
GPT-6 Lunawon 16 · lost 7
GPT-4o miniwon 13 · lost 6
Grok 4.3won 13 · lost 6
Ling 3.0 Flashwon 10 · lost 5
Llama 3.3 70B Instructwon 10 · lost 5
Gemini 3.1 Flash-Litewon 10 · lost 5
GPT OSS 20Bwon 12 · lost 6
Claude Haiku 4.5won 12 · lost 6
Gemma 4 31Bwon 12 · lost 6
Mistral Large 4won 14 · lost 7
GPT OSS 120Bwon 13 · lost 7
DeepSeek V3.2won 13 · lost 7
GLM-4.6won 13 · lost 7
Grok 4.1 Fastwon 11 · lost 6
DeepSeek V3.1won 9 · lost 5
Grok 4won 12 · lost 7
Qwen3.7 Maxwon 12 · lost 7
Inklingwon 13 · lost 8
GPT-4owon 11 · lost 7
O3 Miniwon 11 · lost 7
Claude 3.5 Sonnetwon 9 · lost 6
DeepSeek R1won 12 · lost 8
MiniMax M3won 12 · lost 8
Gemma 3 27B ITwon 8 · lost 6
Gemini 3.6 Flashwon 12 · lost 9
MiniMax M2.7won 10 · lost 8
MiMo V2.5 Prowon 10 · lost 8
Claude 3.7 Sonnetwon 9 · lost 8
Gemini 2.5 Flashwon 10 · lost 9
GPT-4.1won 10 · lost 9
Qwen3 235B A22B Instructwon 10 · lost 9
GLM-5.1won 9 · lost 9
Claude Sonnet 4won 10 · lost 10
Gemini 2.5 Prowon 10 · lost 10
GLM-5.2won 10 · lost 10
GPT-5.6 Lunawon 11 · lost 12
O4 Miniwon 9 · lost 10
GPT-5 nanowon 8 · lost 9
GLM-4.5won 7 · lost 8
Gemini 3.1 Prowon 7 · lost 8
GLM-5.3 Flashwon 10 · lost 12
Kimi K2.5won 9 · lost 11
O1won 7 · lost 9
Kimi K3won 7 · lost 9
Grok 4.7won 10 · lost 13
Inkling 2 Smallwon 6 · lost 8
Gemini 3.5 Flashwon 8 · lost 11
Grok 4.5won 9 · lost 13
Gemini 3.8 Flashwon 9 · lost 13
Grok 3 Miniwon 6 · lost 9
GPT-5 miniwon 8 · lost 12
Claude Sonnet 5won 8 · lost 13
Muse Spark 1.1won 7 · lost 12
DeepSeek V4 Prowon 8 · lost 14
Claude Haiku 5.5won 6 · lost 11
GPT-5won 7 · lost 13
Gemini 3.7 Flashwon 5 · lost 10
Muse Spark 1.2won 5 · lost 10
Claude Opus 4won 6 · lost 12
GPT-5.1won 6 · lost 12
Claude Sonnet 4.5won 6 · lost 14
Claude Sonnet 4.6won 5 · lost 12
Kimi K3.1 Prowon 4 · lost 10
Qwen3.8 Maxwon 6 · lost 15
MiMo V2.6 Prowon 6 · lost 16
O3won 5 · lost 14
GPT-5.2won 5 · lost 14
Kimi K2 Thinkingwon 4 · lost 12
GPT-5.5won 5 · lost 16
GPT-6 Solwon 5 · lost 17
GPT-5.6 Terrawon 5 · lost 17
DeepSeek V4.1 Flashwon 4 · lost 14
Muse Spark 1.3won 3 · lost 12
GPT-5.4won 4 · lost 16
Claude Opus 4.7won 4 · lost 16
GLM-5.3won 3 · lost 13
Gemini 3 Prowon 3 · lost 13
Claude Opus 4.6won 3 · lost 13
GPT-6.1 Solwon 3 · lost 14
GPT-6 Astrawon 3 · lost 15
Claude Opus 4.5won 2 · lost 12
Grok 4.6won 3 · lost 19
GPT-5.6 Solwon 3 · lost 20
Claude Opus 4.8won 2 · lost 18
Muse Wonder Fullwon 1 · lost 14
Muse Wonderwon 1 · lost 14
Claude Fable 5.1won 1 · lost 15
Claude Sonnet 5.5won 1 · lost 16
Claude Opus 5won 1 · lost 21
Claude Opus 5.5won 1 · lost 22
Claude Fable 5won 0 · lost 14
Gemini 4 Argonwon 0 · lost 18

§ 3 · Sources

Where the numbers come from

6 publications, 21 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-10
LMArena Text 1448
Artificial Analysis ↗1 measureread 2026-11-10
Artificial Analysis Intelligence Index 27
GDPval-AA ↗1 measureread 2026-11-10
GDPval-AA 1614
AA-Briefcase ↗1 measureread 2026-11-10
AA-Briefcase 1487
Vals.ai ↗11 measuresread 2026-11-10
Vals · Legal Research Bench 37.98%Vals · Harvey Legal Agent Benchmark 13.33%Vals · Finance Agent 56.28%Vals · MedCode 41.06%Vals · MedScribe 85.28%Vals · BioMysteryBench 69.26%Vals · CyberBench 75.36%Vals · SRE Bench 4.2%Vals · Vibe Code Bench 78.96% (OpenHands)Vals · Code Migration 40.93%Vals · ProofBench 63%
Enkrypt AI Safety Leaderboard ↗6 measuresread 2026-11-10
Enkrypt · Jailbreak risk 26.3%Enkrypt · Harmful content risk 2.2%Enkrypt · CBRN risk 51.7%Enkrypt · Toxicity risk 3.5%Enkrypt · Bias risk 89.4%Enkrypt · Insecure code risk 36.9%

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