getcheapaicredits

Model vs model · live prices

GLM 5.3 FlashX vs Mistral Small 4

Mistral Small 4 is 2.2× cheaper than GLM 5.3 FlashX at a 3:1 input:output mix ($0.262 vs $0.59 per million tokens).
Per 1M tokensZ.ai: GLM 5.3 FlashXMistral: Mistral Small 4
Input$0.37$0.15
Output$1.25$0.6
Cached input$0.09$0.015
Blended 3:1$0.59$0.262
Context window1.0M262K
ReleasedSeptember 18, 2026March 16, 2026
Tools · reasoningTools · ReasoningTools · Reasoning

List prices from OpenRouter, refreshed hourly. Lower price and larger context highlighted.

What the same work costs on each

At list price, before batch or caching discounts.
WorkloadGLM 5.3 FlashXMistral Small 4Difference
1,000 chat messages
1,000 input + 500 output tokens each
$1.00$0.45$0.54
1,000 RAG questions
8,000 input + 500 output tokens each
$3.59$1.50$2.09
100 coding-agent steps
30,000 input + 2,000 output tokens each, no caching
$1.36$0.57$0.79

Which one should you use?

Price is only half the decision: run both on a sample of your own prompts and compare quality, speed and failure rate. If Mistral Small 4 is good enough for a task, it saves $0.54 per thousand chat messages. A common setup is to route easy requests to the cheaper model and keep GLM 5.3 FlashX for the hard ones.

Both are available behind one OpenAI-compatible key through OpenRouter or a reseller, so switching is a one-line change. See where credits cost least today and how to cut the token bill.

Related comparisons

FAQ

Disclosure: this site is run by the team behind smaaart, one of the options compared. Tables are ranked by price only, from live quotes and published fees, including when smaaart isn't first. How we compare