GLM-5.2 (max) API Provider Benchmarking & Analysis
This analysis is intended to support you in choosing the best API provider of GLM-5.2 (max) for your use-case.
Fastest
Databricks
Nebius (FP4)
Baseten (FAST)
Mistral
CoreWeaveOutput speed
Total 22 providers
Lowest Latency
DatabricksNebius (FP4)MistralCoreWeaveBaseten (FAST)Time to first answer token
Total 22 providers
Lowest Price
Bitdeer AI
Makora (NVFP4)
DeepInfra (FP4)CoreWeave
GMI (FP8)Blended price (per 1M tokens)
Total 22 providers
GLM-5.2 (max) is available through 22 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 Databricks (307.5 t/s), Nebius (FP4) (286.0 t/s), and Baseten (FAST) (257.1 t/s). Speed varies significantly across providers, with a 370% difference between the fastest and slowest.
- For latency, Databricks (7.25s), Nebius (FP4) (8.07s), and Mistral (8.97s) offer the lowest time to first answer token.
- For pricing, Bitdeer AI (0.37), Makora (NVFP4) (0.47), and DeepInfra (FP4) (0.49) offer the lowest blended prices per 1M tokens. Prices vary up to 6.8x across providers.
- Databricks offers the best performance with both the highest speed and lowest latency. For cost optimization, Bitdeer AI 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.
Endpoint Accuracy
Endpoint Accuracy Index: GLM-5.2 (max)
Pricing
Pricing: Cache Hit, Input, and Output
Pricing: Blended Price
Pricing: Cache Discount
Output Speed vs. Price
Speed
Measured by Output Speed (tokens per second)
Output Speed: GLM-5.2 (max)
Latency vs. Output Speed
Latency
Measured by Time (seconds) to First Token
Time to First Answer Token
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
Key Comparison Metrics & API Features
 Wafer | 98% | 205k | Open | -- | 68 | 1.46 | 38.25 | 29.43 | ||
 FriendliAI | 100% | 1M | Open | -- | 122 | 0.77 | 21.24 | 16.37 | ||
| Makora | 95% | 1M | Open | -- | -- | -- | -- | -- | ||
| Baseten | n/a | 524k | Open | -- | 257 | 1.95 | 11.68 | 7.78 | ||
 Novita | 98% | 1.05M | Open | -- | 79 | 1.81 | 33.38 | 25.25 | ||
 Parasail | 98% | 1M | Open | -- | 188 | 1.21 | 14.49 | 10.62 | ||
| CoreWeave | 97% | 262k | Open | -- | 240 | 1.20 | 11.61 | 8.32 | ||
 Multiverse Computing | n/a | 1M | Open | -- | 143 | 0.78 | 18.20 | 13.94 | ||
| DeepInfra | 73% | 1.05M | Open | -- | 65 | 1.02 | 39.23 | 30.57 | ||
| Nebius | 100% | 432k | Open | -- | 286 | 1.07 | 9.81 | 6.99 | ||
 Together AI | 97% | 262k | Open | -- | 212 | 0.76 | 12.53 | 9.42 | ||
 Scaleway | 75% | 262k | Open | -- | 89 | 1.80 | 30.00 | 22.56 | ||
| Databricks | n/a | 1M | Open | -- | 308 | 0.75 | 8.87 | 6.50 | ||
 Crusoe | 101% | 1M | Open | -- | 214 | 0.97 | 12.63 | 9.33 | ||
| Bitdeer AI | n/a | 1M | Open | -- | 66 | 2.90 | 40.87 | 30.38 | ||
 Fireworks | 100% | 1M | Open | -- | 227 | 1.72 | 12.75 | 8.82 | ||
| GMI | n/a | 1.05M | Open | -- | -- | -- | -- | -- | ||
| Baseten | 93% | 1.05M | Open | -- | 127 | 2.05 | 21.78 | 15.78 | ||
 Modular | n/a | 164k | Open | -- | 140 | 15.50 | 33.34 | 14.28 | ||
 Zai | n/a | 1M | Open | -- | 71 | 1.67 | 37.02 | 28.28 | ||
| Mistral | n/a | 1.05M | Open | -- | 254 | 1.11 | 10.93 | 7.86 | ||
 SiliconFlow | 99% | 1.05M | Open | -- | 103 | 1.89 | 26.11 | 19.37 | ||
Frequently Asked Questions
Common questions about GLM-5.2 (max) providers
GLM-5.2 (max) is available through 22 API providers: Wafer, FriendliAI, Makora (NVFP4), Baseten (FAST), Novita (FP8), Parasail (NVFP4), CoreWeave, Multiverse Computing, DeepInfra (FP4), Nebius (FP4), Together AI, Scaleway, Databricks, Crusoe (NVFP4), Bitdeer AI, Fireworks, GMI (FP8), Baseten, Modular, Zai, Mistral, and SiliconFlow (FP8). Each provider offers different performance characteristics and pricing.
GLM-5.2 (max) is currently available through 22 API providers that we benchmark and track.
The fastest providers for GLM-5.2 (max) by output speed are Databricks (307.5 t/s), Nebius (FP4) (286.0 t/s), and Baseten (FAST) (257.1 t/s). Output speed measures how quickly tokens are generated after the model starts responding.
The providers with the lowest time to first answer token for GLM-5.2 (max) are Databricks (7.25s), Nebius (FP4) (8.07s), and Mistral (8.97s). Lower latency means faster initial response time.
The most affordable providers for GLM-5.2 (max) by blended price are Bitdeer AI ($0.37 per 1M tokens), Makora (NVFP4) ($0.47 per 1M tokens), and DeepInfra (FP4) ($0.49 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 Bitdeer AI ($0.60 per 1M input tokens), Makora (NVFP4) ($0.72 per 1M input tokens), and DeepInfra (FP4) ($0.75 per 1M input tokens).
The providers with the lowest output token pricing for GLM-5.2 (max) are Bitdeer AI ($1.88 per 1M output tokens), Makora (NVFP4) ($2.38 per 1M output tokens), and DeepInfra (FP4) ($2.40 per 1M output tokens).
Prices for GLM-5.2 (max) vary up to 6.8x across providers. The most affordable is Bitdeer AI at $0.37 per 1M tokens, while Scaleway charges $2.52 per 1M tokens.
Output speed for GLM-5.2 (max) varies significantly across providers. Databricks is the fastest at 307.5 t/s, which is 4.7x faster than DeepInfra (FP4) at 65.4 t/s.
21 of 22 providers support JSON mode for GLM-5.2 (max): Wafer, FriendliAI, Makora (NVFP4), Baseten (FAST), Novita (FP8), Parasail (NVFP4), CoreWeave, Multiverse Computing, DeepInfra (FP4), Nebius (FP4), Together AI, Scaleway, Databricks, Crusoe (NVFP4), Bitdeer AI, Fireworks, GMI (FP8), Baseten, Modular, Zai, and Mistral.
All 22 providers of GLM-5.2 (max) support function calling (tool use).
For GLM-5.2 (max), Databricks offers the best performance with highest speed and lowest latency. For cost optimization, Bitdeer AI 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