GLM 4.5V
GLM 4.5VRankingin thinking mode?
Alternatives?
CheaperMiMo v2.6 ProthinkingOpen×6.1-40%$0.13Memory (4-bit): 65 GB → 615 GB+4
BetterGPT-6 Lunalow×2.8-78%$0.005Function calling only with none · Chat Completions+3
OpenQwen3.8 Flashthinking×5.3-74%$0.37Memory (4-bit): 65 GB → 108 GB+6
CheaperDeepSeek V4.1 Flash 1017maxOpen×6-42%$0.26Memory (4-bit): 65 GB → 458 GB+5
CheaperClaude Haiku 5.5max×5.7-78%$0.21Remove sampling parameters+5MiMo v2.6 ProthinkingOpen×6.1-40%$0.13Memory (4-bit): 65 GB → 615 GB+4DeepSeek V4.1 Flash 1017maxOpen×6-42%$0.26Memory (4-bit): 65 GB → 458 GB+5Claude Haiku 5.5max×5.7-78%$0.21Remove sampling parameters+5
MiniMax M3.1 Flashthinking×5.7-71%$0.22Complete model response must be appendedGLM 5.3 FlashmaxOpen×5.5-74%$0.28Memory (4-bit): 65 GB → 193 GB+5GPT-6 Lunalow×2.8-78%$0.005Function calling only with none · Chat Completions+3GPT-5.6 Lunalow×2.8-50%$0.01
Mistral Small 4thinkingOpen+49%-71%$0.015Memory (4-bit): 65 GB → 72 GBMiMo v2.5thinkingOpen×2.9-81%$0.019Memory (4-bit): 65 GB → 186 GBDeepSeek V3 0324non-thinkingOpen+29%-55%$0.021Memory (4-bit): 65 GB → 411 GB+1Qwen3.8 FlashthinkingOpen×5.3-74%$0.37Memory (4-bit): 65 GB → 108 GB+6Qwen3.8 27BxhighOpen×4.5+6%$1.01max_tokens range · QwenCloud+4
Nemotron 3.5 Super VLOpen×3.5-81%$0.19Memory (4-bit): 65 GB → 75 GBTInkling SmallthinkingOpen×3.4-29%$0.089Memory (4-bit): 65 GB → 160 GB+1IK2 Horizon MoVA 36B A4BthinkingOpen×3.3+94%$1 / $4No image inputGLM 5.3 FlashmaxOpen×5.5—$0.28Memory (4-bit): 65 GB → 193 GB+5GLM 5.3lowOpen×4.5—$0.85Memory (4-bit): 65 GB → 452 GB+5GLM 5thinkingOpen×3.7—$1 / $3.20Memory (4-bit): 65 GB → 452 GB+1GLM 5 Turbothinking×3.5—$1.20 / $4No image inputGLM 5.1thinkingOpen×3.4—$1.02Memory (4-bit): 65 GB → 452 GB+1GLM 5V Turbothinking×3.1—$1.20 / $4GLM 5.2non-thinkingOpen×3—$1.40 / $4.40Memory (4-bit): 65 GB → 452 GB+1GLM 4.7thinkingOpen×2.9—$0.60 / $2.20Memory (4-bit): 65 GB → 215 GB+1All Z.ai models →Run it yourself
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10 versionsBenchmarks
all categoriesFAQ
How much does GLM 4.5V cost?›
$0.60 per 1M input tokens and $1.80 per 1M output tokens; cached input $0.11 per 1M.
Is GLM 4.5V free to use?›
There is no free API; the cheapest paid price is $0.60 per 1M input tokens. The weights are open, so you can run it yourself.
How good is GLM 4.5V, and what is it best at?›
#238 of 334 in Chat & Knowledge, #155 of 239 in Coding, #180 of 242 in Agents & Tool Use, #124 of 195 in Writing & Language, #110 of 124 in Vision & Documents.
Is GLM 4.5V better than Sonar Pro?›
On AA Intelligence Index 4.3.2, GLM 4.5V scores 7.6 vs 7.6 — about the same.
How can I use GLM 4.5V?›
Through the API of Novita.
What is the context window of GLM 4.5V?›
66K tokens, with up to 16K output tokens.
When was GLM 4.5V released? Is there a newer version?›
Released 2025-08-11. It has been superseded by GLM 4.6V.
Is GLM 4.5V open source?›
Yes, the weights are open (MIT licence).
Can I run GLM 4.5V locally?›
The weights are open and can be self-hosted; hardware needs are not confirmed yet.
Can GLM 4.5V read images?›
It accepts text and images as input.
What is GLM 4.5V?›
GLM 4.5V is an open-weights language model from Z.ai, released Aug 2025.
What are the best alternatives to GLM 4.5V?›
MiMo v2.6 Pro (cheaper), GPT-6 Luna (better), Qwen3.8 Flash (open weights).