GLM-5.3 (Max) API Provider Benchmarking & Analysis
This analysis is intended to support you in choosing the best API provider of GLM-5.3 (Max) for your use-case.
Lowest Time per Task
Supernova (FP4, FAST)
LithosAI (FP4)
Systalyze
Baseten (FAST)
ScalewayTime per Intelligence Index task (minutes)
Total 28 providers
Lowest Cost per Task
Systalyze
Multiverse Computing
MakoraSupernova (FP4)
DeepInfraCost per Intelligence Index task
Total 28 providers
GLM-5.3 (max) is available through 28 API providers, each offering different performance characteristics and pricing. Below is a comparison of the key metrics across providers.
- For time per task, Supernova (FP4, FAST) (5.6 min), LithosAI (FP4) (7.0 min), and Systalyze (7.3 min) finish an Intelligence Index task fastest.
- For cost per task, Systalyze ($1.04), Multiverse Computing ($1.48), and Makora ($1.99) are the cheapest per Intelligence Index task. Cost varies up to 33.2x across providers.
Endpoint Accuracy
Endpoint Accuracy Index: GLM-5.3 (Max)
Pricing
Cost per Intelligence Index Task: GLM-5.3 (Max)
Pricing: Cache Hit, Input, and Output: GLM-5.3 (Max)
Output Speed vs. Cost per Task: GLM-5.3 (Max)
Speed
Average of the single-request and multi-turn agentic workloads measured
Time per Intelligence Index Task: GLM-5.3 (Max)
Latency
Average of the single-request and multi-turn agentic workloads measured
Time to First Answer Token: GLM-5.3 (Max)
Reliability
Share of requests the endpoint failed, across all the single-request and multi-turn agentic workloads measured
Endpoint Error Rate: GLM-5.3 (Max)
Caching
Cache Hit Rate: GLM-5.3 (Max)
Cost per Task vs. Cache Hit Rate: GLM-5.3 (Max)
Key Comparison Metrics & API Features
| Baseten | $3.45 | 27.0 | 97% | 82.40 | 2.6% | 1M | Open | ||
| Baseten | $9.52 | 8.3 | 98% | 22.43 | 4.3% | 1M | Open | ||
 Bitdeer AI | $2.40 | 15.7 | 98% | 40.50 | 0.0% | 1M | Open | ||
 Crusoe | $5.10 | 10.4 | 98% | 25.64 | 0.0% | 786k | Open | ||
 Databricks | $4.92 | 12.4 | 96% | 41.30 | 0.0% | 1M | Open | ||
| DeepInfra | $2.39 | 25.6 | 96% | 81.31 | 2.0% | 1M | Open | ||
 DigitalOcean | $4.92 | 10.0 | 99% | 69.17 | 0.0% | 1M | Open | ||
 Fireworks | $10.32 | 9.1 | n/a | 26.37 | 7.3% | 1M | Open | ||
 FriendliAI | $4.53 | 17.1 | 77% | 46.87 | 0.8% | 1M | Open | ||
 GMI | $2.53 | 23.9 | 96% | 66.27 | 5.1% | 1M | Open | ||
 Inco | $10.21 | 12.8 | 98% | 36.14 | 0.0% | 1M | Open | ||
| Inco | $8.89 | 29.4 | 97% | 86.01 | 2.8% | 164k | Open | ||
| LithosAI | $3.69 | 7.0 | 98% | 20.42 | 0.0% | 1M | Open | ||
| LithosAI | $7.39 | 9.4 | 73% | 24.23 | 3.7% | 1M | Open | ||
| Makora | $1.99 | 24.4 | 98% | 82.96 | 1.7% | 1M | Open | ||
 Modal | $4.92 | 11.9 | 99% | 40.73 | 0.0% | 1M | Open | ||
 Modular | $5.10 | 10.8 | 96% | 32.73 | 0.0% | 1M | Open | ||
| Multiverse Computing | $1.48 | 16.5 | 96% | 46.17 | 0.8% | 1M | Open | ||
 Nebius | $4.92 | 12.0 | 99% | 33.71 | 0.0% | 1M | Open | ||
 Novita | $5.00 | 19.3 | 96% | 56.29 | 0.8% | 1M | Open | ||
 Parasail | $4.92 | 12.2 | 99% | 32.00 | 3.4% | 1M | Open | ||
| Scaleway | $34.52 | 9.4 | 67% | 18.49 | 0.0% | 262k | Open | ||
| Supernova | $2.22 | 21.4 | 99% | 55.81 | 0.0% | 1M | Open | ||
| Supernova | $13.49 | 5.6 | 99% | 12.98 | 0.0% | 1M | Open | ||
| Systalyze | $1.04 | 7.3 | n/a | 16.94 | 0.0% | 1M | Open | ||
 Together AI | $4.92 | 12.7 | 97% | 41.06 | 3.6% | 1M | Open | ||
 Wafer | $3.13 | 19.1 | 95% | 37.22 | 0.0% | 1M | Open | ||
 Zai | $5.01 | 29.5 | 99% | 80.48 | 1.8% | 1M | Open | ||
Frequently Asked Questions
Common questions about GLM-5.3 (Max) providers
GLM-5.3 (Max) is available through 28 API providers: Modal, Zai, Together AI, Parasail, DeepInfra, Modular, Inco (FAST), Novita, Baseten, DigitalOcean, Makora, Databricks, Wafer, Baseten (FAST), LithosAI (FP4), LithosAI (FP4 ULTRA CHAT), Inco, Crusoe (FP4), Supernova (FP4), FriendliAI, Supernova (FP4, FAST), Nebius (FP4), GMI, Bitdeer AI, Multiverse Computing, Fireworks (FAST), Systalyze, and Scaleway. Each provider offers different performance characteristics and pricing.
GLM-5.3 (Max) is currently available through 28 API providers that we benchmark and track.
By time per task, the fastest providers for GLM-5.3 (Max) are Supernova (FP4, FAST) (5.6 min), LithosAI (FP4) (7.0 min), and Systalyze (7.3 min). Time per task divides the model's output tokens per Intelligence Index task by each provider's end-to-end output speed.
The providers with the lowest time to first answer token for GLM-5.3 (Max) are Supernova (FP4, FAST) (12.98s), Scaleway (16.30s), and Systalyze (17.54s). Lower latency means faster initial response time.
The most affordable providers for GLM-5.3 (Max) by blended price are Multiverse Computing ($0.12 per 1M tokens), Systalyze ($0.24 per 1M tokens), and Bitdeer AI ($0.27 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-5.3 (Max) are Makora ($0.14 per 1M input tokens), Wafer ($0.20 per 1M input tokens), and Multiverse Computing ($0.20 per 1M input tokens).
The providers with the lowest output token pricing for GLM-5.3 (Max) are Multiverse Computing ($0.64 per 1M output tokens), Systalyze ($1.00 per 1M output tokens), and Bitdeer AI ($1.32 per 1M output tokens).
Prices for GLM-5.3 (Max) vary up to 21.6x across providers. The most affordable is Multiverse Computing at $0.12 per 1M tokens, while Scaleway charges $2.52 per 1M tokens.
Time per task for GLM-5.3 (Max) varies significantly across providers. Supernova (FP4, FAST) is the quickest at 5.6 minutes per Intelligence Index task, 5.3x quicker than Inco at 29.6 minutes.
All 28 providers of GLM-5.3 (Max) support JSON mode for structured output.
All 28 providers of GLM-5.3 (Max) support function calling (tool use).
For GLM-5.3 (Max), Supernova (FP4, FAST) offers the best performance with the lowest time per task and lowest latency. For cost optimization, Multiverse Computing provides the most competitive pricing.
When choosing a provider for GLM-5.3 (Max), consider: time per task (how quickly the provider completes an Intelligence Index task), 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-5.3 (Max)'s intelligence, capabilities, modalities, and how it compares to other models, see the model overview page. View model overview