# GLM-5.2 (Max) API Provider Benchmarking and Analysis > Source: > Published: 2026-06-25 20:13:20+00:00 # GLM-5.2 (max) API Provider Benchmarking & Analysis [Model Comparison](/models/glm-5-2) Analysis of API providers for GLM-5.2 (max) across performance metrics including latency (time to first token), output speed (output tokens per second), price and others. API providers benchmarked include Makora (FP8), Wafer, Fireworks, FriendliAI, Novita (FP8), GMI (FP8), Databricks, Parasail (FP8), CoreWeave, Baseten, Nebius (FP8), DeepInfra (FP8), Together AI, SiliconFlow (FP8). ### Fastest Output speed Total 14 providers ### Lowest Latency Time to first answer token Total 14 providers ### Lowest Price Blended price (per 1M tokens) Total 14 providers GLM-5.2 (max) is available through 14 API providers, each offering different performance characteristics and pricing. Below is a comparison of the key metrics across providers. - For output speed, the top providers are Fireworks (261.5 t/s), Baseten (239.5 t/s), Databricks (208.1 t/s). - For latency, Fireworks (9.81s), Baseten (9.86s), Databricks (11.22s) offer the lowest time to first token. - For pricing, GMI (FP8) (0.72), Wafer (0.79), DeepInfra (FP8) (0.80) offer the lowest blended prices per 1M tokens. - Fireworks offers the best performance with both the highest speed and lowest latency. For cost optimization, GMI (FP8) provides the most competitive pricing. Highlights Update: Default performance benchmarking workload has updated to 10k input tokens to better reflect production use cases. You can still select different workloads above. ## Pricing ### Pricing: Cache Hit, Input, and Output ### Pricing: Blended Price ### Pricing: Cache Discount ### Speed vs. Price ## Speed Measured by Output Speed (tokens per second) ### Output Speed: GLM-5.2 (max) Providers ### Latency vs. Output Speed: GLM-5.2 (max) Providers ## Latency Measured by Time (seconds) to First Token ### Time to First Answer Token: GLM-5.2 (max) Providers ## End-to-End Response Time Seconds to output 500 tokens, calculated based on time to first token, 'thinking' time for reasoning models, and output speed ### End-to-End Response Time: GLM-5.2 (max) Providers ## API Features ### Function (Tool) Calling & JSON Mode: GLM-5.2 (max) Providers ### Context Window: GLM-5.2 (max) Providers ## Summary Table of Key Comparison Metrics ## Frequently Asked Questions Common questions about GLM-5.2 (max) providers GLM-5.2 (max) is available through 14 API providers: [Makora (FP8)](/providers/makora), [Wafer](/providers/wafer), [Fireworks](/providers/fireworks), [FriendliAI](/providers/friendli-ai), [Novita (FP8)](/providers/novita), [GMI (FP8)](/providers/gmi), [Databricks](/providers/databricks), [Parasail (FP8)](/providers/parasail), [CoreWeave](/providers/coreweave), [Baseten](/providers/baseten), [Nebius (FP8)](/providers/nebius), [DeepInfra (FP8)](/providers/deepinfra), [Together AI](/providers/togetherai), and [SiliconFlow (FP8)](/providers/siliconflow). Each provider offers different performance characteristics and pricing. GLM-5.2 (max) is currently available through 14 API providers that we benchmark and track. The fastest providers for GLM-5.2 (max) by output speed are [Fireworks](/providers/fireworks) (261.5 t/s), [Baseten](/providers/baseten) (239.5 t/s), and [Databricks](/providers/databricks) (208.1 t/s). Output speed measures how quickly tokens are generated after the model starts responding. The providers with the lowest time to first token for GLM-5.2 (max) are [Together AI](/providers/togetherai) (0.82s), [DeepInfra (FP8)](/providers/deepinfra) (0.83s), and [FriendliAI](/providers/friendli-ai) (0.90s). Lower latency means faster initial response time. The most affordable providers for GLM-5.2 (max) by blended price are [GMI (FP8)](/providers/gmi) ($0.72 per 1M tokens), [Wafer](/providers/wafer) ($0.79 per 1M tokens), and [DeepInfra (FP8)](/providers/deepinfra) ($0.80 per 1M tokens). Blended price uses a 7:2:1 cache hit/input/output token ratio. The providers with the lowest input token pricing for GLM-5.2 (max) are [GMI (FP8)](/providers/gmi) ($1.12 per 1M input tokens), [Wafer](/providers/wafer) ($1.20 per 1M input tokens), and [DeepInfra (FP8)](/providers/deepinfra) ($1.20 per 1M input tokens). The providers with the lowest output token pricing for GLM-5.2 (max) are [GMI (FP8)](/providers/gmi) ($3.52 per 1M output tokens), [Makora (FP8)](/providers/makora) ($3.99 per 1M output tokens), and [Wafer](/providers/wafer) ($4.10 per 1M output tokens). Prices for GLM-5.2 (max) vary up to 2.4x across providers. The most affordable is [GMI (FP8)](/providers/gmi) at $0.72 per 1M tokens, while [Nebius (FP8)](/providers/nebius) charges $1.70 per 1M tokens. Output speed for GLM-5.2 (max) varies significantly across providers. [Fireworks](/providers/fireworks) is the fastest at 261.5 t/s, which is 5.4x faster than [SiliconFlow (FP8)](/providers/siliconflow) at 48.7 t/s. 13 of 14 providers support JSON mode for GLM-5.2 (max): [Makora (FP8)](/providers/makora), [Wafer](/providers/wafer), [Fireworks](/providers/fireworks), [FriendliAI](/providers/friendli-ai), [Novita (FP8)](/providers/novita), [GMI (FP8)](/providers/gmi), [Databricks](/providers/databricks), [Parasail (FP8)](/providers/parasail), [CoreWeave](/providers/coreweave), [Baseten](/providers/baseten), [Nebius (FP8)](/providers/nebius), [DeepInfra (FP8)](/providers/deepinfra), and [Together AI](/providers/togetherai). All 14 providers of GLM-5.2 (max) support function calling (tool use). The best provider for GLM-5.2 (max) depends on your priorities: [Fireworks](/providers/fireworks) offers the highest output speed, [Together AI](/providers/togetherai) has the lowest latency, and [GMI (FP8)](/providers/gmi) provides the most competitive pricing. When choosing a provider for GLM-5.2 (max), consider: output speed (for throughput-intensive tasks), latency (for interactive applications requiring quick first responses), pricing (for cost-sensitive workloads), and API features like JSON mode or function calling. Yes, provider performance can vary over time due to infrastructure changes, load balancing, and updates. We continuously benchmark all providers and display historical performance trends in the "Over Time" charts. For information about GLM-5.2 (max)'s intelligence, capabilities, modalities, and how it compares to other models, see the model overview page. [View model overview](/models/glm-5-2)