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GLM-4.7 Flash

Z.ai · 31B · open weights

Strongest in Factual grounding (#46 of 104), weakest in Human preference (#166 of 354). Above par in 4 of 4 scopes. Among the models it meets almost everywhere, it finishes behind GPT-5.4 and DeepSeek V4.1 Flash and ahead of Gemini 2.0 Flash and MiniMax M2.

§ 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.

Safety50.5#162/327
Factual grounding51.6#46/104
Human preference53.2#166/354
Human preference53.2#166/354

§ 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 GLM-4.7 Flash, left for the other.

OLMo 7B Instructwon 3 · lost 0
Gemma 2B ITwon 3 · lost 0
Llama 3.2 1B Instructwon 3 · lost 0
SmolLM2 1.7B Instructwon 3 · lost 0
Zephyr 7B Betawon 3 · lost 0
Gemma 7B ITwon 3 · lost 0
Mistral 7B Instruct v0.2won 3 · lost 0
Granite 3.0 2B Instructwon 3 · lost 0
Nous Hermes 2 Mixtral 8x7B DPOwon 3 · lost 0
Llama 3.2 3B Instructwon 3 · lost 0
Starling LM 7B Betawon 3 · lost 0
Granite 3.1 2B Instructwon 3 · lost 0
DeepSeek LLM 67B Chatwon 3 · lost 0
Qwen1.5 14B Chatwon 3 · lost 0
DBRX Instructwon 3 · lost 0
Mixtral 8x7B Instructwon 3 · lost 0
Gemma 2 2B ITwon 3 · lost 0
GPT-3.5 Turbowon 3 · lost 0
Llama 3.1 8B Instructwon 3 · lost 0
Mixtral 8x22B Instructwon 3 · lost 0
Qwen1.5 72B Chatwon 3 · lost 0
Jamba 1.5 Miniwon 3 · lost 0
Command Rwon 3 · lost 0
OLMo 2 32B Instructwon 3 · lost 0
Gemma 2 9B ITwon 3 · lost 0
Jamba 1.5 Largewon 3 · lost 0
Llama 3.1 70B Instructwon 3 · lost 0
Magistral Mediumwon 3 · lost 0
GPT OSS 20Bwon 3 · lost 0
Llama 3.1 405B Instructwon 3 · lost 0
QwQ 32Bwon 3 · lost 0
Gemini 1.5 Prowon 3 · lost 0
Gemini 2.0 Flash-Litewon 3 · lost 0
Command Awon 3 · lost 0
NVIDIA Nemotron 3 Super 120B A12Bwon 3 · lost 0
NVIDIA Nemotron 3 Nano 30B A3Bwon 4 · lost 0
Mercury 2won 4 · lost 0
Aya Expanse 8Bwon 3 · lost 1
Aya Expanse 32Bwon 3 · lost 1
Mistral Small 3 24B Instructwon 3 · lost 1
Command R+won 3 · lost 1
Gemma 3 4B ITwon 3 · lost 1
Llama 3.3 70B Instructwon 3 · lost 1
Llama 4 Scout Instructwon 3 · lost 1
GPT-4owon 3 · lost 1
GPT-5 nanowon 3 · lost 1
GPT OSS 120Bwon 3 · lost 1
Llama 2 7B Chatwon 2 · lost 1
Phi-3 Mini 128K Instructwon 2 · lost 1
Llama 2 13B Chatwon 2 · lost 1
Phi-3 Mini 4K Instructwon 2 · lost 1
Llama 2 70B Chatwon 2 · lost 1
Phi-3 Small 8K Instructwon 2 · lost 1
Granite 3.0 8B Instructwon 2 · lost 1
Phi-3 Medium 4K Instructwon 2 · lost 1
Granite 3.1 8B Instructwon 2 · lost 1
Llama 3.1 Tulu 3 8Bwon 2 · lost 1
Llama 3 8B Instructwon 2 · lost 1
Claude 3 Haikuwon 2 · lost 1
Qwen2 72B Instructwon 2 · lost 1
GPT-4won 2 · lost 1
Llama 3 70B Instructwon 2 · lost 1
Claude 3 Sonnetwon 2 · lost 1
Gemma 2 27B ITwon 2 · lost 1
Llama 3.1 Nemotron 70B Instructwon 2 · lost 1
Qwen2.5 72B Instructwon 2 · lost 1
Gemini 1.5 Flashwon 2 · lost 1
GPT-4o miniwon 2 · lost 1
Qwen Maxwon 2 · lost 1
Claude 3 Opuswon 2 · lost 1
GPT-4.1 nanowon 2 · lost 1
Claude 3.5 Haikuwon 2 · lost 1
GPT-4 Turbowon 2 · lost 1
O1 Miniwon 2 · lost 1
MiniMax M2won 2 · lost 1
Gemini 2.0 Flashwon 2 · lost 1
Snowflake Arctic Instructwon 2 · lost 2
Ministral 8Bwon 2 · lost 2
Amazon Nova Microwon 2 · lost 2
Phi 4won 2 · lost 2
Amazon Nova Litewon 2 · lost 2
Granite 4.0 H Smallwon 2 · lost 2
Amazon Nova Prowon 2 · lost 2
Mistral Large 2.1won 2 · lost 2
Llama 4 Maverick Instructwon 2 · lost 2
Amazon Nova 2 Litewon 2 · lost 2
Gemma 3 12B ITwon 2 · lost 2
Qwen3 32Bwon 2 · lost 2
MiniMax M2.1won 2 · lost 2
Qwen3.5 Flashwon 2 · lost 2
Grok 4 Fastwon 2 · lost 2
Mistral Medium 3.1won 2 · lost 2
Mistral Large 3won 2 · lost 2
DeepSeek R1won 2 · lost 2
GLM-4.6won 2 · lost 2
Grok 4.1 Fastwon 2 · lost 2
GLM-4.7won 2 · lost 2
Kimi K2.5won 2 · lost 2
Claude Opus 4.1won 2 · lost 2
GLM-5won 2 · lost 2
Kimi K2.6won 2 · lost 2
Gemini 3 Flashwon 2 · lost 2
Claude Opus 4.5won 2 · lost 2
Gemini 3.1 Prowon 2 · lost 2
Gemini 4 Argonwon 2 · lost 2
Qwen3 30B A3B Instructwon 1 · lost 2
GLM-4.5won 1 · lost 2
Grok 4won 1 · lost 2
Mistral Large 4won 1 · lost 2
NVIDIA Nemotron 3 Ultra 550B A55Bwon 1 · lost 2
MiniMax M3won 1 · lost 2
DeepSeek V4 Flashwon 1 · lost 2
Grok 4.3won 1 · lost 2
MiMo V2.6 Flashwon 1 · lost 2
MiMo V2.5 Prowon 1 · lost 2
Qwen3.7 Maxwon 1 · lost 2
GLM-5.3 Flashwon 1 · lost 2
GLM-5.2won 1 · lost 2
Gemini 3.5 Flashwon 1 · lost 2
Gemini 3.6 Flashwon 1 · lost 2
GPT-5 miniwon 1 · lost 3
O4 Miniwon 1 · lost 3
Qwen3.5 35B A3Bwon 1 · lost 3
DeepSeek V3won 1 · lost 3
Claude Sonnet 4won 1 · lost 3
Qwen3.5 27Bwon 1 · lost 3
Grok 3won 1 · lost 3
Claude Haiku 4.5won 1 · lost 3
MiniMax M2.7won 1 · lost 3
DeepSeek V3.1won 1 · lost 3
Qwen3.5 122B A10Bwon 1 · lost 3
Kimi K2won 1 · lost 3
DeepSeek V3.2won 1 · lost 3
Claude Opus 4won 1 · lost 3
GPT-5won 1 · lost 3
Gemma 4 26B A4Bwon 1 · lost 3
GPT-5.2won 1 · lost 3
Gemini 2.5 Prowon 1 · lost 3
Gemma 4 31Bwon 1 · lost 3
GPT-5.1won 1 · lost 3
Claude Sonnet 4.5won 1 · lost 3
DeepSeek V4 Prowon 1 · lost 3
Claude Sonnet 4.6won 1 · lost 3
GPT-5.6 Solwon 1 · lost 3
Gemini 3 Prowon 1 · lost 3
Claude Opus 4.7won 1 · lost 3
Claude Opus 4.6won 1 · lost 3
Claude Opus 5.5won 1 · lost 3
O3 Miniwon 0 · lost 3
Grok 3 Miniwon 0 · lost 3
Qwen3 Next 80B A3B Thinkingwon 0 · lost 3
GLM-4.5 Airwon 0 · lost 3
Claude 3.5 Sonnetwon 0 · lost 3
GPT-4.1 miniwon 0 · lost 3
Claude 3.7 Sonnetwon 0 · lost 3
O1won 0 · lost 3
Qwen3 VL 235B A22B Instructwon 0 · lost 3
Qwen3 235B A22B Instructwon 0 · lost 3
O3won 0 · lost 3
GPT-6 Lunawon 0 · lost 3
Qwen3.5 397B A17Bwon 0 · lost 3
Grok 4.7won 0 · lost 3
Inklingwon 0 · lost 3
GPT-4.5won 0 · lost 3
GPT-5.6 Lunawon 0 · lost 3
Hy3won 0 · lost 3
Grok 4.6won 0 · lost 3
Claude Sonnet 5won 0 · lost 3
GLM-5.1won 0 · lost 3
Grok 4.5won 0 · lost 3
GPT-5.6 Terrawon 0 · lost 3
MiMo V2.6 Prowon 0 · lost 3
GPT-5.5won 0 · lost 3
Claude Opus 4.8won 0 · lost 3
Qwen3.8 Maxwon 0 · lost 3
Claude Opus 5won 0 · lost 3
Muse Spark 1.1won 0 · lost 3
Gemini 3.8 Flashwon 0 · lost 3
Gemma 3 27B ITwon 0 · lost 4
Trinity Largewon 0 · lost 4
Gemini 2.5 Flash-Litewon 0 · lost 4
MiniMax M2.5won 0 · lost 4
GPT-5.4 nanowon 0 · lost 4
Gemini 2.5 Flashwon 0 · lost 4
GPT-4.1won 0 · lost 4
Gemini 3.1 Flash-Litewon 0 · lost 4
GPT-5.4 miniwon 0 · lost 4
GPT-6 Solwon 0 · lost 4
GPT-6 Astrawon 0 · lost 4
DeepSeek V4.1 Flashwon 0 · lost 4
GPT-5.4won 0 · lost 4

§ 3 · Sources

Where the numbers come from

2 publications, 2 figures. Every one links to the page it was read from.

LMArena Text ↗1 measureread 2026-11-11
LMArena Text 1364
Vectara Hallucination Leaderboard ↗1 measureread 2026-11-11
Vectara · Factual consistency 90.7%

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