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Laguna XS.2

Other

Strongest in Science (#104 of 122), weakest in Professional (#189 of 194). Above par in 0 of 10 scopes. Among the models it meets almost everywhere, it finishes behind Claude Opus 5 and Claude Fable 5.1 and ahead of Mercury 2.5 and Command R+.

§ 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.

Reasoning43.2#152/195
Science35.4#104/122
Knowledge43.7#166/197
Academic knowledge34.8#111/123
Coding39.5#171/179
Agentic coding38.8#164/173
Professional36.7#189/194
Finance37.5#147/162
Medical31.1#147/149
Legal36.3#162/173

§ 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 Laguna XS.2, left for the other.

Gemini 1.5 Flashwon 6 · lost 1
Mistral Smallwon 5 · lost 2
Jamba 1.6 Miniwon 5 · lost 3
Jamba 1.6 Largewon 5 · lost 3
Command R+won 4 · lost 3
Mercury 2.5won 4 · lost 3
Llama 4 Scout Instructwon 4 · lost 4
Laguna M.1won 5 · lost 5
GPT-4.1 nanowon 5 · lost 5
GPT-4o miniwon 4 · lost 5
Claude 3.5 Haikuwon 4 · lost 5
Mistral Medium 3.5won 4 · lost 6
Magistral Small 1.2won 3 · lost 5
Magistral Medium 1.2won 3 · lost 5
Ling 3.0 Flash Finwon 2 · lost 4
Command Awon 3 · lost 7
Llama 3.3 70B Instructwon 2 · lost 5
Grok 2won 2 · lost 5
Mistral Large 2.1won 2 · lost 5
Gemma 4 31Bwon 2 · lost 5
Grok 4.1 Fastwon 2 · lost 8
Grok 4.3won 2 · lost 8
Mistral Large 3won 2 · lost 8
GPT-4owon 2 · lost 8
Qwen3.6 27Bwon 1 · lost 5
Gemini 1.5 Prowon 1 · lost 7
GPT-5 nanowon 1 · lost 7
GPT OSS 20Bwon 1 · lost 7
Claude 3.5 Sonnetwon 1 · lost 8
GPT-5.4 nanowon 1 · lost 9
Gemini 3.5 Flash-Litewon 1 · lost 9
Gemini 2.0 Flashwon 1 · lost 9
DeepSeek V3won 1 · lost 9
GPT-4.1won 1 · lost 9
Muse Spark Openwon 0 · lost 6
Qwen3.6 Maxwon 0 · lost 6
Step 5won 0 · lost 6
Ember 1won 0 · lost 6
Muse Spark 1.3won 0 · lost 6
GPT-6.1 Terrawon 0 · lost 6
Muse Wonderwon 0 · lost 6
Mistral Medium 3.1won 0 · lost 7
MiMo V2.6 Prowon 0 · lost 7
Mistral Large 4won 0 · lost 7
Grok 4.7won 0 · lost 7
MiMo V2.6 Flashwon 0 · lost 7
Hy4won 0 · lost 7
Muse Wonder Fullwon 0 · lost 7
Gemini 4 Argonwon 0 · lost 7
Gemini 2.5 Flash-Litewon 0 · lost 8
GLM-4.5won 0 · lost 8
Claude Opus 4.1won 0 · lost 8
GPT-6 Lunawon 0 · lost 8
Claude Haiku 5.5won 0 · lost 8
Claude Sonnet 5.5won 0 · lost 8
GPT-6 Solwon 0 · lost 8
GPT-6.1 Solwon 0 · lost 8
DeepSeek V4.1 Flashwon 0 · lost 8
GPT-6 Astrawon 0 · lost 8
Claude Opus 5.5won 0 · lost 8
GPT-5.4 miniwon 0 · lost 9
Muse Spark 1.2won 0 · lost 9
DeepSeek R1won 0 · lost 9
Grok 4 Fastwon 0 · lost 10
Grok 4.20won 0 · lost 10
Claude Haiku 4.5won 0 · lost 10
Gemini 3.1 Flash-Litewon 0 · lost 10
Ling 3.0 Flashwon 0 · lost 10
Kimi K2.5won 0 · lost 10
GPT OSS 120Bwon 0 · lost 10
GLM-4.6won 0 · lost 10
GPT-5 miniwon 0 · lost 10
Qwen3 Maxwon 0 · lost 10
Inklingwon 0 · lost 10
Qwen3.6 Pluswon 0 · lost 10
MiniMax M2.7won 0 · lost 10
Gemini 3 Flashwon 0 · lost 10
Claude Opus 4.5won 0 · lost 10
Qwen3.7 Maxwon 0 · lost 10
Qwen 3.5 Pluswon 0 · lost 10
Kimi K2 Thinkingwon 0 · lost 10
Gemini 3.1 Prowon 0 · lost 10
MiniMax M3won 0 · lost 10
Claude Sonnet 4.5won 0 · lost 10
MiniMax M2.5won 0 · lost 10
GPT-5.1won 0 · lost 10
MiMo V2.5won 0 · lost 10
Inkling Smallwon 0 · lost 10
GLM-5won 0 · lost 10
Gemini 3 Prowon 0 · lost 10
Muse Sparkwon 0 · lost 10
Qwen3.5 Flashwon 0 · lost 10
MiMo V2.5 Prowon 0 · lost 10
GPT-4.1 miniwon 0 · lost 10
Kimi K2.6won 0 · lost 10
GLM-5.1won 0 · lost 10
DeepSeek V3.2won 0 · lost 10
GLM-4.7won 0 · lost 10
Gemini 2.5 Prowon 0 · lost 10
Gemini 3.5 Flashwon 0 · lost 10
Claude Sonnet 4.6won 0 · lost 10
Gemini 3.6 Flashwon 0 · lost 10
DeepSeek V4won 0 · lost 10
GPT-5.2won 0 · lost 10
Claude Opus 4.6won 0 · lost 10
MiniMax M2.1won 0 · lost 10
GLM-5.3 Flashwon 0 · lost 10
Grok 4won 0 · lost 10
GPT-5won 0 · lost 10
Gemini 3.8 Flashwon 0 · lost 10
Grok 3won 0 · lost 10
Qwen3.8 27Bwon 0 · lost 10
Gemini 3.7 Flashwon 0 · lost 10
Claude Sonnet 4won 0 · lost 10
GPT-5.4won 0 · lost 10
Gemini 2.5 Flashwon 0 · lost 10
Grok 3 Miniwon 0 · lost 10
Kimi K3won 0 · lost 10
Qwen3.8 Maxwon 0 · lost 10
Kimi K2won 0 · lost 10
Grok 4.5won 0 · lost 10
GLM-5.2won 0 · lost 10
O1won 0 · lost 10
DeepSeek V4 Flashwon 0 · lost 10
Claude Opus 4.7won 0 · lost 10
GPT-5.6 Lunawon 0 · lost 10
Claude 3.7 Sonnetwon 0 · lost 10
Qwen3 235B A22B Instructwon 0 · lost 10
Claude Opus 4won 0 · lost 10
Claude Sonnet 5won 0 · lost 10
Muse Spark 1.1won 0 · lost 10
O3 Miniwon 0 · lost 10
GPT-5.5won 0 · lost 10
Claude Opus 4.8won 0 · lost 10
Grok 4.6won 0 · lost 10
GPT-5.6 Terrawon 0 · lost 10
DeepSeek V4 Prowon 0 · lost 10
O4 Miniwon 0 · lost 10
GLM-5.3won 0 · lost 10
GPT-5.6 Solwon 0 · lost 10
O3won 0 · lost 10
Claude Fable 5won 0 · lost 10
Claude Fable 5.1won 0 · lost 10
Claude Opus 5won 0 · lost 10

§ 3 · Sources

Where the numbers come from

1 publication, 11 figures. Every one links to the page it was read from.

Vals.ai ↗11 measuresread 2026-11-10
Vals · Legal Research Bench 0.96%Vals · LegalBench 71.03%Vals · Finance Agent 15.6%Vals · CorpFin 56.33%Vals · TaxEval 58.95%Vals · MedCode 21.25%Vals · MedScribe 61.43%Vals · SWE-bench Verified 55.2% (Mini-SWE-agent)Vals · Vibe Code Bench 5.21% (OpenHands)Vals · GPQA Diamond 55.05%Vals · MMLU Pro 69.05%

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