GLM 4.7
GLM 4.7Alternatives?
CheaperMiMo v2.6 ProthinkingOpen+80%-46%$0.13Memory (4-bit): 215 GB → 615 GB+4
BetterGPT-6 Lunahigh+20%-80%$0.029Function calling only with none · Chat Completions+3
OpenStep 5 Previewthinking+70%+43%$1.03Memory (4-bit): 215 GB → 363 GB+3
CheaperMiniMax M3.1 Flashthinking+75%-74%$0.22Complete model response must be appended
CheaperClaude Haiku 5.5max+62%-80%$0.21Remove sampling parameters+5MiMo v2.6 ProthinkingOpen+80%-46%$0.13Memory (4-bit): 215 GB → 615 GB+4MiniMax M3.1 Flashthinking+75%-74%$0.22Complete model response must be appendedClaude Haiku 5.5max+62%-80%$0.21Remove sampling parameters+5
DeepSeek V4.1 Flash 1017maxOpen+58%-48%$0.26Memory (4-bit): 215 GB → 458 GB+5GLM 5.3 FlashmaxOpen+46%-76%$0.28Defaults to max · Self-hosted+4GPT-6 Lunahigh+20%-80%$0.029Function calling only with none · Chat Completions+3GPT-5.6 Lunahigh+22%-55%$0.044Claude Haiku 5.5medium+23%-80%$0.047Remove sampling parameters+5MiMo v2.5 ProthinkingOpen+30%-46%$0.054Memory (4-bit): 215 GB → 614 GBMiMo v2.6 FlashthinkingOpen+28%-83%$0.062Pass back reasoning_content+3Step 5 PreviewthinkingOpen+70%+43%$1.03Memory (4-bit): 215 GB → 363 GB+3
Muse Spark OpenxhighOpen+60%+100%$0.84Memory (4-bit): 215 GB → 493 GB+2DeepSeek V4.1 Flash 1017maxOpen+58%-48%$0.26Memory (4-bit): 215 GB → 458 GB+5GLM 5.3maxOpen+54%+115%$2.01Memory (4-bit): 215 GB → 452 GB+4GLM 5.2maxOpen+50%+115%$1.47Memory (4-bit): 215 GB → 452 GBGLM 5.3 FlashmaxOpen+46%—$0.28Defaults to max · Self-hosted+4GLM 5.3lowOpen+34%—$0.85Memory (4-bit): 215 GB → 452 GB+4GLM 5.1thinkingOpen+10%—$1.02Memory (4-bit): 215 GB → 452 GBGLM 5thinkingOpen+7%—$1 / $3.20Memory (4-bit): 215 GB → 452 GBGLM 5 Turbothinkingsame—$1.20 / $4GLM 5V Turbothinking-37%—$1.20 / $4GLM 4.5thinkingOpen-53%—$0.60 / $2.20Context: 203K → 131KGLM 5.2non-thinkingOpen-64%—$1.40 / $4.40Memory (4-bit): 215 GB → 452 GBAll Z.ai models →Run it yourself
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10 versionsBenchmarks
in Chat & KnowledgeFAQ
How much does GLM 4.7 cost?›
$0.60 per 1M input tokens and $2.20 per 1M output tokens; cached input $0.11 per 1M; cheapest via DeepInfra at $0.40 / $1.75.
Is GLM 4.7 free to use?›
There is no free API; the cheapest paid price is $0.40 per 1M input tokens. The weights are open, so you can run it yourself.
How good is GLM 4.7, and what is it best at?›
#97 of 334 in Chat & Knowledge, #58 of 97 in Coding, #75 of 175 in Agents & Tool Use, #62 of 195 in Writing & Language. Strongest at: Tool calling, Science, Instructions.
Is GLM 4.7 better than GLM 5 Turbo?›
On Humanity's Last Exam, GLM 4.7 scores 27.4 vs 27.8 — about the same.
How can I use GLM 4.7?›
Through the API of AWS Bedrock, DeepInfra, Google, Mancer 2, Novita.
What is the context window of GLM 4.7?›
203K tokens, with up to 131K output tokens.
When was GLM 4.7 released? Is there a newer version?›
Released 2025-12-22. It has been superseded by GLM 5.
Is GLM 4.7 open source?›
Yes, the weights are open (MIT licence).
Can I run GLM 4.7 locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can GLM 4.7 read images?›
No, it accepts text only.
What is GLM 4.7?›
GLM 4.7 is an open-weights language model from Z.ai, released Dec 2025.
What are the best alternatives to GLM 4.7?›
MiMo v2.6 Pro (cheaper), GPT-6 Luna (better), Step 5 Preview (open weights).