The LLM benchmark aggregator.

Granite 4.2 8B

IBM · 8.8B · open weights

Strongest in Knowledge work (#128 of 178), weakest in Human preference (#228 of 342). Above par in 2 of 14 scopes. Among the models it meets almost everywhere, it finishes behind GPT-5.6 Terra and Claude Sonnet 5 and ahead of Gemini 3.5 Flash Lite and Qwen3.6 Plus.

§ 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.

Core abilities43.8−23.6#163/2041/3

General intelligence41−29.1#167/2041/3

Long context26−38.6—/0✱✱

Agents43.1−25#212/2682/5

Knowledge work41−32.6#128/1782/2

Tool use48−26—/81✱0/1

Human preference46.3−21.2#228/3421/1

Reasoning51−15.9—/178✱0/4

Mathematics54.7−11—/140✱0/2

Expert reasoning48.4−12.5—/0✱✱

Coding48.7−20.4—/165✱0/5

Agentic coding48.5−20.2—/157✱0/4

Code generation46.1−23.9—/77✱0/2

§ 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 Granite 4.2 8B, left for the other.

NVIDIA Nemotron 3 Nano 4Bwon 9 · lost 0

GPT-4o Miniwon 9 · lost 2

GPT-4.1 Nanowon 9 · lost 2

Qwen3.6 27Bwon 7 · lost 2

Nemotron 3 Ultra 550B A55Bwon 7 · lost 2

K2 Horizon 0.9Bwon 7 · lost 2

Grok Build 0.1won 7 · lost 2

Granite 4.2 3Bwon 10 · lost 3

Grok 4.3won 7 · lost 4

GPT-5.4 Miniwon 7 · lost 4

Command Awon 6 · lost 4

Mistral Large 3won 6 · lost 4

Kimi K2.7 Codewon 5 · lost 4

Llama 4 Scout Instructwon 5 · lost 4

Gemma 3 27B Itwon 5 · lost 4

Nemotron 3 Ultrawon 6 · lost 5

Llama 4 Maverick Instructwon 6 · lost 5

DeepSeek V3won 6 · lost 5

GPT-5.4 Nanowon 6 · lost 5

Qwen3.6 Pluswon 6 · lost 5

Gemini 3.5 Flash Litewon 6 · lost 5

Mistral Medium 3.5won 5 · lost 5

Gemini 3.1 Flash Litewon 5 · lost 5

DeepSeek V4 Flash Visionwon 4 · lost 5

MiniMax M3won 6 · lost 8

Inklingwon 6 · lost 8

Granite 4.2 30Bwon 5 · lost 7

Mimo V2.5 Prowon 4 · lost 6

GPT-4.1 Miniwon 4 · lost 7

Claude Haiku 4.5won 4 · lost 7

DeepSeek R1won 4 · lost 7

Kimi K2.6won 4 · lost 7

Qwen3.7 Maxwon 4 · lost 7

K2 Horizon 32Bwon 3 · lost 6

Qwen3.8 Flash Nextwon 3 · lost 6

O3 Miniwon 3 · lost 6

Nemotron 3 Superwon 3 · lost 7

GPT OSS 120Bwon 3 · lost 7

Qwen3.6 35B A3Bwon 3 · lost 8

Qwen3.5 9Bwon 3 · lost 8

Gemini 2.5 Prowon 3 · lost 8

Gemini 3.1 Prowon 3 · lost 8

DeepSeek V4 Flashwon 3 · lost 9

Gemma 4 31Bwon 3 · lost 10

G9v3 39A5Bwon 2 · lost 7

Muse Glimmer-30Bwon 2 · lost 7

Claude Opus 4won 2 · lost 7

Gemma 4 12Bwon 2 · lost 8

GPT-4.1won 2 · lost 8

Kimi K2won 2 · lost 8

Qwen3 235B A22B Instructwon 2 · lost 8

Kimi K2.5won 2 · lost 8

Gemini 3 Prowon 2 · lost 8

K2 Horizon MoVA 36B A4Bwon 2 · lost 9

GPT-5 Miniwon 2 · lost 9

O4 Miniwon 2 · lost 9

Claude Sonnet 4won 2 · lost 9

Gemini 2.5 Flashwon 2 · lost 9

GLM-4.6won 2 · lost 9

Grok 4.7won 2 · lost 9

Claude Sonnet 4.5won 2 · lost 9

Grok 4.5won 2 · lost 9

GLM-5.3 Flashwon 2 · lost 9

Claude Opus 4.5won 2 · lost 9

Qwen3.8 Maxwon 2 · lost 9

Gemini 3.8 Flashwon 2 · lost 9

K2 Horizon 7Bwon 2 · lost 10

Kimi K3won 2 · lost 10

Qwen3.8 27Bwon 2 · lost 12

GLM-5.2won 2 · lost 12

Qwen3 32Bwon 1 · lost 8

Mimo V2.6 Prowon 1 · lost 9

K2 Horizon 3.7Bwon 1 · lost 10

GPT-6 Lunawon 1 · lost 10

Grok 4.6won 1 · lost 10

Claude Sonnet 4.6won 1 · lost 10

Gemini 3.5 Flashwon 1 · lost 10

Gemini 3.6 Flashwon 1 · lost 10

Muse Spark 1.1won 1 · lost 10

Muse Spark 1.2won 1 · lost 10

DeepSeek V4 Prowon 1 · lost 11

DeepSeek V4.1 Flashwon 1 · lost 11

GLM-5.3won 1 · lost 11

GPT-5.6 Solwon 1 · lost 11

GPT-5.6 Lunawon 1 · lost 13

Claude Opus 4.6won 0 · lost 9

Grok 4won 0 · lost 10

GPT-5won 0 · lost 10

K2 Horizon 375B A23Bwon 0 · lost 11

DeepSeek V3.2won 0 · lost 11

O3won 0 · lost 11

GPT-5.2won 0 · lost 11

GPT-6 Solwon 0 · lost 11

GPT-5.4won 0 · lost 11

GPT-6 Astrawon 0 · lost 11

Claude Opus 4.8won 0 · lost 11

GPT-5.5won 0 · lost 11

Gemini 3.7 Flashwon 0 · lost 11

Muse Spark 1.3won 0 · lost 11

Claude Fable 5.1won 0 · lost 11

Claude Opus 4.7won 0 · lost 11

Claude Fable 5won 0 · lost 11

Claude Opus 5.5won 0 · lost 11

Claude Opus 5won 0 · lost 12

Claude Sonnet 5won 0 · lost 14

GPT-5.6 Terrawon 0 · lost 14

§ 3 · Sources

Where the numbers come from

5 publications, 12 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-09-26

LMArena Text 1289

Artificial Analysis ↗1 measureread 2026-09-26

Artificial Analysis Intelligence Index 11

GDPval-AA ↗1 measureread 2026-09-26

GDPval-AA 478

AA-Briefcase ↗1 measureread 2026-09-26

AA-Briefcase 308

✱✱ IFM — K2 Horizon launch ↗the model’s own publisher8 measuresread 2026-09-26

tau3-Banking 7.6%Terminal-Bench 2.1 18.4%SciCode 30.4%AA-LCR 43.3%SWE-bench Verified 47.7%HMMT Feb 2026 66.5%HLE 9.7%BFCL v4 48.4%

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