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Ling 3.0 Flash Fin

InclusionAI

Strongest in Cybersecurity (#38 of 47), weakest in Coding (#176 of 179). Above par in 3 of 9 scopes. Among the models it meets almost everywhere, it finishes behind Claude Fable 5.1 and Claude Opus 5 and ahead of GPT-5.4 mini and Claude 3.5 Haiku.

§ 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.

Agents51.9#98/298
Knowledge work53.1#76/208
Professional44.4#154/194
Cybersecurity44.1#38/47
Finance54.7#54/162
Medical40.7#130/149
Legal39.6#151/173
Coding38.2#176/179
Agentic coding37.3#171/173

§ 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 Ling 3.0 Flash Fin, left for the other.

Command A+won 6 · lost 0
NVIDIA Nemotron 3.5 Lightning 30B A3Bwon 9 · lost 0
Llama 4 Scout Instructwon 5 · lost 1
Magistral Small 1.2won 5 · lost 1
Mistral Medium 3.1won 5 · lost 1
Magistral Medium 1.2won 5 · lost 1
GPT OSS 20Bwon 5 · lost 1
Mistral Medium 3.5won 6 · lost 2
GPT-4o miniwon 5 · lost 2
Laguna XS.2won 4 · lost 2
Laguna M.1won 4 · lost 2
Mistral Small 3.1 24B Instructwon 4 · lost 2
Mercury 2.5won 6 · lost 3
GPT-4.1 nanowon 5 · lost 3
Llama 4 Maverick Instructwon 5 · lost 3
Gemma 4 31Bwon 4 · lost 3
Claude 3.5 Haikuwon 4 · lost 3
GPT-5.4 miniwon 4 · lost 3
Nemotron 3.5 Super VLwon 3 · lost 3
MiMo V2.5won 4 · lost 4
Grok 4.1 Fastwon 3 · lost 4
DeepSeek V3won 3 · lost 5
O3 Miniwon 3 · lost 5
DeepSeek R1won 3 · lost 5
Gemini 3.1 Flash-Litewon 3 · lost 5
Mistral Large 3won 3 · lost 5
GPT-4owon 3 · lost 5
Gemini 3.1 Prowon 3 · lost 5
GPT OSS 120Bwon 3 · lost 5
GPT-5.4 nanowon 3 · lost 5
Claude Sonnet 4won 3 · lost 5
GPT-4.1 miniwon 3 · lost 5
Grok 4.3won 3 · lost 5
MiniMax M2.7won 3 · lost 5
Ling 3.0 Flashwon 3 · lost 5
GPT-5.1won 3 · lost 5
NVIDIA Nemotron 3 Ultra 550B A55Bwon 3 · lost 5
GPT-5won 3 · lost 5
Qwen3.6 Pluswon 3 · lost 5
MiMo V2.5 Prowon 3 · lost 5
Qwen3.7 Maxwon 3 · lost 5
Grok 4.20won 2 · lost 4
Gemini 3.5 Flash-Litewon 3 · lost 6
Inkling Smallwon 3 · lost 6
Step 5won 2 · lost 5
Qwen3.6 27Bwon 2 · lost 5
O3won 2 · lost 5
Qwen3.7 Pluswon 2 · lost 5
Gemini 2.5 Prowon 2 · lost 6
Muse Sparkwon 2 · lost 6
Mistral Large 4won 2 · lost 6
GPT-5 miniwon 2 · lost 6
GLM-4.7won 2 · lost 6
Kimi K2.5won 2 · lost 6
Claude Haiku 4.5won 2 · lost 6
DeepSeek V3.2won 2 · lost 6
Claude Sonnet 4.5won 2 · lost 6
GLM-4.6won 2 · lost 6
Inklingwon 2 · lost 7
Qwen3.8 27Bwon 2 · lost 7
GPT-6 Lunawon 2 · lost 7
Gemini 3.8 Flashwon 2 · lost 7
Grok 4.5won 2 · lost 7
GPT-6.1 Solwon 2 · lost 7
GPT-6 Astrawon 2 · lost 7
Grok 4 Fastwon 1 · lost 5
Qwen 3.5 Pluswon 1 · lost 5
Kimi K2 Thinkingwon 1 · lost 5
Gemini 2.0 Flashwon 1 · lost 5
MiniMax M2.5won 1 · lost 5
GLM-5won 1 · lost 5
Qwen3.5 Flashwon 1 · lost 5
DeepSeek V4won 1 · lost 5
MiniMax M2.1won 1 · lost 5
Grok 3won 1 · lost 5
Grok 3 Miniwon 1 · lost 5
O1won 1 · lost 5
Ember 1won 1 · lost 5
Claude Opus 4won 1 · lost 5
Beam 1.0won 1 · lost 5
Claude 3.7 Sonnetwon 1 · lost 6
Muse Spark Openwon 1 · lost 6
Command Awon 1 · lost 6
Qwen3 235B A22B Instructwon 1 · lost 6
O4 Miniwon 1 · lost 6
Gemini 2.5 Flashwon 1 · lost 6
Kimi K2won 1 · lost 6
Grok 4won 1 · lost 6
Gemini 3.5 Flashwon 1 · lost 7
GLM-5.1won 1 · lost 7
Kimi K2.6won 1 · lost 7
Muse Spark 1.1won 1 · lost 7
Qwen3.8 Maxwon 1 · lost 8
Gemini 3.6 Flashwon 1 · lost 8
Gemini 3.7 Flashwon 1 · lost 8
DeepSeek V4 Flashwon 1 · lost 8
Grok 4.7won 1 · lost 8
Claude Haiku 5.5won 1 · lost 8
GPT-6 Solwon 1 · lost 8
Claude Opus 5.5won 1 · lost 8
Qwen3 Maxwon 0 · lost 6
Gemini 3 Flashwon 0 · lost 6
Claude Opus 4.6won 0 · lost 6
MiniMax M3.1 Flashwon 0 · lost 6
Muse Emberwon 0 · lost 6
GPT-6.1 Terrawon 0 · lost 6
Kimi K3.1 Prowon 0 · lost 6
Gemini 4 Carbonwon 0 · lost 6
Claude Fable 5.2won 0 · lost 6
Hy4won 0 · lost 7
GPT-4.1won 0 · lost 7
GPT-5.2won 0 · lost 7
Inkling 2 Smallwon 0 · lost 7
Gemini 3 Prowon 0 · lost 7
Claude Opus 4.5won 0 · lost 7
GPT-5.4won 0 · lost 8
GPT-5.5won 0 · lost 8
Muse Spark 1.3won 0 · lost 8
GLM-5.2won 0 · lost 8
Claude Opus 4.7won 0 · lost 8
Claude Sonnet 4.6won 0 · lost 8
Claude Opus 4.8won 0 · lost 8
Muse Wonderwon 0 · lost 8
Claude Fable 5won 0 · lost 8
GLM-5.3 Flashwon 0 · lost 9
GPT-5.6 Terrawon 0 · lost 9
Grok 4.6won 0 · lost 9
Kimi K3won 0 · lost 9
DeepSeek V4 Prowon 0 · lost 9
DeepSeek V4.1 Flashwon 0 · lost 9
Muse Spark 1.2won 0 · lost 9
MiniMax M3won 0 · lost 9
GPT-5.6 Lunawon 0 · lost 9
Claude Sonnet 5won 0 · lost 9
MiMo V2.6 Prowon 0 · lost 9
GPT-5.6 Solwon 0 · lost 9
MiMo V2.6 Flashwon 0 · lost 9
GLM-5.3won 0 · lost 9
Gemini 4 Argonwon 0 · lost 9
Muse Wonder Fullwon 0 · lost 9
Claude Sonnet 5.5won 0 · lost 9
Claude Opus 5won 0 · lost 9
Claude Fable 5.1won 0 · lost 9

§ 3 · Sources

Where the numbers come from

3 publications, 10 figures. Every one links to the page it was read from.

GDPval-AA ↗1 measureread 2026-11-11
GDPval-AA 1108
AA-Briefcase ↗1 measureread 2026-11-11
AA-Briefcase 959
Vals.ai ↗8 measuresread 2026-11-11
Vals · Legal Research Bench 15.38%Vals · LegalBench 68.74%Vals · Finance Agent 54.93%Vals · MedCode 29.3%Vals · MedScribe 75.59%Vals · CyberBench 58.33%Vals · Vibe Code Bench 3.4% (OpenHands)Vals · Code Migration 1.82%

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