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Model comparison - Similar price, same tier

GLM-5.3-Flash vs Mistral Small 4

GLM-5.3-Flash is from Z.ai and Mistral Small 4 is from Mistral AI. On list price, both charge $0.15 per 1M input tokens, and GLM-5.3-Flash charges 17% less than Mistral Small 4 for output ($0.50 vs $0.60 per 1M tokens). GLM-5.3-Flash has a 1,000,000-token context window and Mistral Small 4 256,000 tokens; GLM-5.3-Flash returns up to 128,000 output tokens per response, and no primary source states a max output for Mistral Small 4. GLM-5.3-Flash was released on August 26, 2026 and Mistral Small 4 on March 15, 2026. Both publish open weights.

Last verified from each provider's pricing page. All sources

Z.ai - Open

GLM-5.3-Flash
Input / 1M
$0.15
Output / 1M
$0.50
Context
1M

Mistral AI - Open

Mistral Small 4
Input / 1M
$0.15
Output / 1M
$0.60
Context
256K

Side-by-side specs

SpecGLM-5.3-FlashMistral Small 4
ProviderZ.aiMistral AI
Input / 1M tokens$0.15$0.15
Output / 1M tokens$0.50$0.60
Cache read / 1M$0.03$0.015
Batch input / 1M-$0.075
Batch output / 1M-$0.30
Context window1,000,000256,000
Max output128,000-
Release date
WeightsOpenOpen
LicenseMITApache 2.0
API model idglm-5.3-flashmistral-small-2603
AI Gateway idzai/glm-5.3-flashmistral/mistral-small
Last verified

Prices in USD per 1M tokens at each provider's standard first-party rate. A dash means the provider does not bill that item separately or no primary page states it.

What each costs in practice

The same three workloads every model page uses, worked from each model's standard list rates. Swap in your own token counts with the math on each model's page.

WorkloadGLM-5.3-FlashMistral Small 4
One agent session1M input tokens and 100K output tokens, no caching.$0.20$0.21
A chat app10,000 requests a day at 2K input and 500 output tokens each.$5.50$165.00 per 30-day month$6.00$180.00 per 30-day month
The same session at a 90% cache hit90% of the input is read from the prompt cache. The one-time cache write premium is not included.$0.092$0.0885
Show the math

GLM-5.3-Flash

  • One agent sessionInput: 1M x $0.15 = $0.15Output: 0.1M x $0.50 = $0.05
  • A chat appInput: 20M x $0.15 = $3.00Output: 5M x $0.50 = $2.50
  • The same session at a 90% cache hitCached input: 0.9M x $0.03 = $0.027Uncached input: 0.1M x $0.15 = $0.015Output: 0.1M x $0.50 = $0.05

Mistral Small 4

  • One agent sessionInput: 1M x $0.15 = $0.15Output: 0.1M x $0.60 = $0.06
  • A chat appInput: 20M x $0.15 = $3.00Output: 5M x $0.60 = $3.00
  • The same session at a 90% cache hitCached input: 0.9M x $0.015 = $0.0135Uncached input: 0.1M x $0.15 = $0.015Output: 0.1M x $0.60 = $0.06

Benchmarks under the same setting

No board in the benchmark directory lists both GLM-5.3-Flash and Mistral Small 4 under the same setting, so there is no like-for-like score to show here.

Set them up in your tools

Step-by-step guides whose official docs list GLM-5.3-Flash or Mistral Small 4 by model id.

Model pages

FAQ

How do GLM-5.3-Flash and Mistral Small 4 compare on price?

On list price, both charge $0.15 per 1M input tokens, and GLM-5.3-Flash charges 17% less than Mistral Small 4 for output ($0.50 vs $0.60 per 1M tokens). For one agent session of 1M input and 100K output tokens with no caching, that is $0.20 on GLM-5.3-Flash and $0.21 on Mistral Small 4. Prices are each provider's first-party list rates, verified October 17, 2026 and October 17, 2026.

What are the context windows of GLM-5.3-Flash and Mistral Small 4?

GLM-5.3-Flash has a 1,000,000-token context window and Mistral Small 4 256,000 tokens; GLM-5.3-Flash returns up to 128,000 output tokens per response, and no primary source states a max output for Mistral Small 4.

Are GLM-5.3-Flash and Mistral Small 4 open weights?

GLM-5.3-Flash's weights are published at huggingface.co under the MIT. Mistral Small 4's weights are published at huggingface.co under the Apache 2.0.

More comparisons

Sources

GLM-5.3-Flash verified from docs.z.ai; Mistral Small 4 verified from docs.mistral.ai. This page is as current as the older of the two: .

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