Output tokens cost $3.96 per million on fireworks-deepseek-v4-pro-0813 and $2.76 per million on glm-5.2. Input tokens cost $1.32 per million on fireworks-deepseek-v4-pro-0813 and $0.79 per million on glm-5.2. Cached input tokens are billed at $0.04 per million on fireworks-deepseek-v4-pro-0813 and $0.20 per million on glm-5.2. Discounted rates are shown where a promotion is active. Context lengths are 1,000,000 tokens on fireworks-deepseek-v4-pro-0813 and 1,000,000 tokens on glm-5.2. Time to first token (TTFT) measured on AIHubMix is 1.7s on fireworks-deepseek-v4-pro-0813 and 1.1s on glm-5.2. Measured output throughput is 39.1 tok/s on fireworks-deepseek-v4-pro-0813 and 49.2 tok/s on glm-5.2.
fireworks-deepseek-v4-pro-0813
glm-5.2DeepSeek-V4 features an ultra-long context of one million characters and achieves leading performance domestically and in the open-source domain in agent capabilities, world knowledge, and reasoning.
GLM-5.2 is Z.ai’s flagship model for the era of long-horizon tasks. With a truly usable 1M-token context window, it can handle project-level engineering context, execute long-running tasks more reliably, follow engineering standards more consistently, and complete the full development workflow from requirements to multi-platform deployment in a single task.
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Daily traffic served through AIHubMix — how demand for each model is trending.
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
glm-5.2: $2.76/M output tokens; fireworks-deepseek-v4-pro-0813: $3.96/M. Use the cost calculator above to estimate your own workload.
glm-5.2: 1.1s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
fireworks-deepseek-v4-pro-0813 accepts 1,000,000 and glm-5.2 accepts 1,000,000 input tokens. Maximum output per request is 384,000 tokens on fireworks-deepseek-v4-pro-0813 and 128,000 tokens on glm-5.2.
glm-5.2 at 49.2 tok/s and fireworks-deepseek-v4-pro-0813 at 39.1 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
fireworks-deepseek-v4-pro-0813 accepts text input and supports tool calling, function calling, structured outputs and thinking; glm-5.2 accepts text input and supports thinking, tool calling, function calling and structured outputs.
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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