Cerebras 上线 GLM-4.6,推理速度超 1000 tokens/秒
Cerebras
Cerebras 在其 Inference API 上线 GLM-4.6,称这是其目前能力最强的模型,在推理、工具调用和编码上有较大升级,速度超过 1000 tokens/秒。Cerebras 表示,GLM-4.6 在许多任务上输出水平与 Sonnet 4.5 相当,但速度快 17 倍、价格便宜 25%。该模型即日起在其按量付费开发者档(10 美元起)和 Cerebras Code 订阅(50 美元/月起)提供,并支持 Cline、VS Code、OpenCode、RooCode 等工具。
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Nov 18 2025
Today, Cerebras is releasing GLM-4.6 — our most capable model yet on the Cerebras Inference API. GLM-4.6 brings major upgrades across reasoning, tool use, and coding, combining exceptional intelligence with an unmatched speed of 1,000 tokens per second on Cerebras. For many tasks, GLM-4.6 is comparable to Sonnet 4.5 in output while running 17x faster and 25% cheaper on Cerebras. GLM-4.6 is available today with our pay-as-you-go developer tier starting at $10 or our Cerebras Code plan starting at $50/month.
GLM-4.6 is widely regarded as one of the world’s top open coding models. GLM-4.5 is ranked #1 model for tool calling on the Berkeley Function Calling Leaderboard (BFCL), ahead of Opus 4.1. GLM-4.6 performs on par with Sonnet 4.5 on LM Arena’s web-development leaderboard , based on thousands of user votes.
Across real-world usage, developers highlight four defining strengths:
In short, GLM-4.6 is a landmark open weight release, closing the gap between leading open and closed coding models for reasoning, tool use, and coding.
GLM-4.6 continues Cerebras’s track record of being the world’s fastest inference provider. The above chart shows leading open and closed coding models, using the fastest provider for each. Cerebras runs GLM-4.6 at over 1,000 tokens per second – more than 3× faster than the leading Kimi K2 provider, and nearly 20× faster than Sonnet 4.5. Code edits that previously took two or three minutes now complete in seconds on Cerebras. Developers say that fast code generation on Cerebras eliminates the need to multi-task while waiting for the model, making development more engaging and enjoyable.
With high-end products, users often pay a disproportionate premium for a moderate performance improvement. For example, a Ferrari is roughly three times faster than a Camry in 0-60 acceleration but costs ten times as much. Cerebras is 20x faster than GPU-based providers, but can you afford it?
Despite building a leapfrog inference product, we are priced at a reasonable premium to other providers. The result is that on a price-performance basis, Cerebras is still better value. For example:
Cerebras is not just fast, it’s better value and a better use of developers’ time than slower or cheaper coding models.
GLM-4.6 is available today on all our offerings, including our pay-as-you-go developer tier starting at just $10. Our dev tier includes generous rate limits comparable to Anthropic and OpenAI and is supported in Cline, VS Code, OpenCode, RooCode, and others.
GLM-4.6 is also available on Cerebras Code, our popular monthly subscription plans for developers who use coding models every day. Based on user feedback, we’ve significantly increased token limits since launch, making these the best options for enthusiasts and professional coders alike:
These plans deliver major savings over pay-as-you-go and make Cerebras a practical choice for full-time, high-volume development.
GLM-4.6 on Cerebras combines near frontier intelligence, world class tool-calling, and unmatched speed. It doesn’t replace Sonnet 4.5 for every task but complements it, giving developers the flexibility to choose the right model for the job. With platforms like Cline and OpenCode making model-switching seamless, developers can use GLM-4.6 for 80% of coding tasks and turn to deeper-reasoning models for the rest — saving both time and money.
Try GLM-4.6 on Cerebras today. As always, we welcome your feedback on Discord or X .
Performance comparisons are based on third-party benchmarking or internal testing. Observed inference speed improvements versus GPU-based systems may vary depending on workload, configuration, date and models being tested.
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