GLM-5.2

Open weights model

Released June 2026

GLM-5.2 (Non-reasoning) API Provider Benchmarking & Analysis

Model Comparison

This analysis is intended to support you in choosing the best API provider of GLM-5.2 (Non-reasoning) for your use-case.

Fastest

#1
Nebius (FP4)Nebius (FP4)
250.1 t/s
#2
DatabricksDatabricks
231.5 t/s
#3
Baseten (FAST)Baseten (FAST)
202.6 t/s
#4
BasetenBaseten
98.8 t/s
#5
SiliconFlow (FP8)SiliconFlow (FP8)
84.6 t/s

Output speed

Total 8 providers

Lowest Latency

#1
DatabricksDatabricks
1.01 s
#2
Nebius (FP4)Nebius (FP4)
1.08 s
#3
ScalewayScaleway
1.92 s
#4
SiliconFlow (FP8)SiliconFlow (FP8)
2.00 s
#5
Bitdeer AIBitdeer AI
2.31 s

Time to first token

Total 8 providers

Lowest Price

#1
Bitdeer AIBitdeer AI
$0.37
#2
BasetenBaseten
$0.82
#3
SiliconFlow (FP8)SiliconFlow (FP8)
$0.85
#4
ModularModular
$0.90
#5
DatabricksDatabricks
$0.90

Blended price (per 1M tokens)

Total 8 providers

GLM-5.2 (Non-reasoning) is available through 8 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 Nebius (FP4) (250.1 t/s), Databricks (231.5 t/s), and Baseten (FAST) (202.6 t/s). Speed varies significantly across providers, with a 461% difference between the fastest and slowest.
  • For latency, Databricks (1.01s), Nebius (FP4) (1.08s), and Scaleway (1.92s) offer the lowest time to first token.
  • For pricing, Bitdeer AI (0.37), Baseten (0.82), and SiliconFlow (FP8) (0.85) offer the lowest blended prices per 1M tokens. Prices vary up to 6.8x across providers.

Highlights

Output tokens per second · Higher is better
Seconds · Lower is better
USD per 1M tokens (blended) · Lower is better

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

Price (USD per M Tokens) · Lower is better · 10,000 input tokens

Pricing: Blended Price

Blended at 7:2:1 (cache-input-output) · USD per 1M tokens (blended) · Lower is better

Pricing: Cache Discount

1 - (cache hit price / input price) · Higher is better

Output Speed vs. Price

Blended at 7:2:1 (cache-input-output) · Output speed: output tokens per second · USD per 1M tokens (blended)
Most attractive quadrant
Pareto line

Speed

Measured by Output Speed (tokens per second)

Output Speed: GLM-5.2 (Non-reasoning)

Output speed: output tokens per second · 10,000 input tokens

Latency vs. Output Speed

Latency: seconds to first token received · Output speed: output tokens per second · 10,000 input tokens
Most attractive quadrant
Pareto line

Latency

Measured by Time (seconds) to First Token

Time to First Token

Seconds to first token received · Lower is better · 10,000 input tokens

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

Seconds to output 500 tokens, including reasoning model 'thinking' time · Lower is better · 10,000 input tokens

Key Comparison Metrics & API Features

Baseten logoBaseten
524k
Open
--
203
2.49
4.96
--
Nebius logoNebius
432k
Open
--
250
1.08
3.08
--
Scaleway logoScaleway
262k
Open
--
66
1.92
9.53
--
Bitdeer AI logoBitdeer AI
1M
Open
--
66
2.31
9.89
--
SiliconFlow logoSiliconFlow
1.05M
Open
--
85
2.00
7.91
--
Modular logoModular
164k
Open
--
45
115.49
126.71
--
Baseten logoBaseten
1.05M
Open
--
99
2.39
7.45
--
Databricks logoDatabricks
1M
Open
--
232
1.01
3.17
--

Frequently Asked Questions

Common questions about GLM-5.2 (Non-reasoning) providers