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The LLM benchmark aggregator.

Ember 1

Other

Strongest in Biology research (#18 of 28), weakest in Reasoning (#93 of 190). Above par in 8 of 9 scopes. Among the models it meets almost everywhere, it finishes behind DeepSeek V4.1 Flash and Gemini 4 Argon and ahead of GPT-5.6 Luna and DeepSeek R1.

§ 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.

Coding54.5#38/176
Agentic coding54.8#36/169
Professional52.5#59/188
Biology research47.3#18/28
Cybersecurity54.2#23/46
Legal56.2#30/164
Finance52.7#76/161
Reasoning50.6#93/190
Mathematics50.9#81/150

§ 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 Ember 1, left for the other.

GPT-4o miniwon 6 · lost 0
Laguna XS.2won 6 · lost 0
Laguna M.1won 6 · lost 0
Gemma 4 31Bwon 6 · lost 0
Claude 3.5 Sonnetwon 6 · lost 0
Grok 4.3won 7 · lost 0
Mistral Medium 3.5won 7 · lost 0
Command A (03-2025)won 7 · lost 0
Mistral Large 3won 7 · lost 0
GPT-4owon 7 · lost 0
GPT-4.1 nanowon 7 · lost 0
GPT-5.4 miniwon 7 · lost 0
Gemini 2.0 Flashwon 7 · lost 0
DeepSeek V3won 7 · lost 0
MiMo V2.5won 7 · lost 0
Claude 3.5 Haikuwon 7 · lost 0
MiMo V2.5 Prowon 7 · lost 0
GPT-4.1 miniwon 7 · lost 0
DeepSeek V4won 7 · lost 0
Gemini 2.5 Flashwon 7 · lost 0
Kimi K2won 7 · lost 0
Beam 1.0won 7 · lost 0
Mercury 2.5won 8 · lost 0
Qwen3.8 27Bwon 8 · lost 0
Inklingwon 7 · lost 1
Gemini 3.5 Flash-Litewon 7 · lost 1
Inkling Smallwon 7 · lost 1
Mistral Large 4won 7 · lost 1
Claude Haiku 4.5won 6 · lost 1
Qwen3.6 27Bwon 6 · lost 1
GPT OSS 120Bwon 6 · lost 1
Kimi K2.6won 6 · lost 1
MiniMax M2.1won 6 · lost 1
Grok 3won 6 · lost 1
Claude Sonnet 4won 6 · lost 1
Ling 3.0 Flash Finwon 5 · lost 1
Ling 3.0 Flashwon 5 · lost 1
Gemini 3.6 Flashwon 7 · lost 2
Gemini 3.8 Flashwon 7 · lost 2
DeepSeek V4 Flashwon 7 · lost 2
MiniMax M3won 6 · lost 2
GLM-5.3 Flashwon 6 · lost 2
Step 5won 6 · lost 2
Grok 4.1 Fastwon 5 · lost 2
Grok 4 Fastwon 5 · lost 2
Gemini 3.1 Flash-Litewon 5 · lost 2
GLM-4.6won 5 · lost 2
Qwen3.6 Pluswon 5 · lost 2
MiniMax M2.7won 5 · lost 2
GPT-5.4 nanowon 5 · lost 2
Qwen3.7 Maxwon 5 · lost 2
Kimi K2 Thinkingwon 5 · lost 2
MiniMax M2.5won 5 · lost 2
GLM-5won 5 · lost 2
GLM-5.1won 5 · lost 2
DeepSeek V3.2won 5 · lost 2
GLM-4.7won 5 · lost 2
Claude 3.7 Sonnetwon 5 · lost 2
Claude Opus 4won 5 · lost 2
O3 Miniwon 5 · lost 2
Qwen3.6 Maxwon 4 · lost 2
GPT-6 Lunawon 6 · lost 3
Gemini 3.1 Prowon 5 · lost 3
Kimi K2.5won 4 · lost 3
Qwen3 Maxwon 4 · lost 3
Qwen3.5 Flashwon 4 · lost 3
Gemini 3.5 Flashwon 4 · lost 3
Grok 4won 4 · lost 3
GPT-4.1won 4 · lost 3
Grok 3 Miniwon 4 · lost 3
GLM-5.2won 4 · lost 3
O1won 4 · lost 3
DeepSeek R1won 4 · lost 3
GPT-5.6 Lunawon 5 · lost 4
Gemini 3.7 Flashwon 4 · lost 4
Claude Sonnet 5won 4 · lost 4
Gemini 3 Flashwon 3 · lost 4
Qwen 3.5 Pluswon 3 · lost 4
Gemini 3 Prowon 3 · lost 4
Claude Sonnet 4.6won 3 · lost 4
Claude Opus 4.6won 3 · lost 4
O4 Miniwon 3 · lost 4
Qwen3.8 Maxwon 3 · lost 5
Muse Spark 1.2won 3 · lost 6
Hy4won 3 · lost 6
GPT-5 miniwon 2 · lost 5
GPT-5.1won 2 · lost 5
Gemini 2.5 Prowon 2 · lost 5
GPT-5.2won 2 · lost 5
Muse Sparkwon 2 · lost 5
GPT-5won 2 · lost 5
GPT-5.4won 2 · lost 5
Claude Opus 4.7won 2 · lost 5
Muse Spark 1.1won 2 · lost 5
Grok 4.5won 2 · lost 6
MiMo V2.6 Prowon 2 · lost 6
Kimi K3won 2 · lost 7
MiMo V2.6 Flashwon 2 · lost 7
Grok 4.7won 2 · lost 7
Claude Sonnet 5.5won 2 · lost 7
GPT-6 Solwon 2 · lost 7
GPT-6.1 Solwon 2 · lost 7
GPT-6 Astrawon 2 · lost 7
Claude Opus 5.5won 2 · lost 7
O3won 1 · lost 6
GLM-5.3won 1 · lost 7
Claude Haiku 5.5won 1 · lost 8
Grok 4.6won 1 · lost 8
Muse Wonderwon 1 · lost 8
Claude Opus 5won 1 · lost 8
Claude Opus 4.8won 0 · lost 7
GPT-5.5won 0 · lost 7
Claude Fable 5won 0 · lost 7
GPT-5.6 Terrawon 0 · lost 8
Muse Spark 1.3won 0 · lost 8
Claude Fable 5.1won 0 · lost 8
GPT-5.6 Solwon 0 · lost 9
Muse Wonder Fullwon 0 · lost 9
Gemini 4 Argonwon 0 · lost 9
DeepSeek V4.1 Flashwon 0 · lost 9

§ 3 · Sources

Where the numbers come from

1 publication, 7 figures. Every one links to the page it was read from.

Vals.ai ↗7 measuresread 2026-10-21
Vals · Legal Research Bench 44.71%Vals · Finance Agent 51.85%Vals · BioMysteryBench 67.04%Vals · CyberBench 69.52%Vals · Vibe Code Bench 83.87% (OpenHands)Vals · Code Migration 32.51%Vals · ProofBench 61%

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