Comparison · Mistral and Z.ai

Mistral Large 4 vs GLM 5.3 FlashX

Listed API prices of Mistral Large 4 and GLM 5.3 FlashX turned into the cost of the same three standard tasks and what each provider’s API documentation says about features that break on a switch. Output quality, speed and answer length are not compared.

Calculated impact cost per task and per month

For an L2 task (deep analysis over a 50,000-token document, 3 steps), Mistral Large 4 costs $0.118 and GLM 5.3 FlashX $0.063 at the prices listed in the United States on , so Mistral Large 4 is 87.9 % more than GLM 5.3 FlashX, counting visible output only, without cache discounts or hidden reasoning.

Head to head: Mistral Large 4: $0.118; GLM 5.3 FlashX: $0.063 Calculated from published rates Input and visible output are priced separately for the same task. 159,000 input + 3,000 visible output tokens per task. No cache discount; hidden reasoning excluded.
Head to head.Calculated from published rates Input and visible output are priced separately for the same task. 159,000 input + 3,000 visible output tokens per task. No cache discount; hidden reasoning excluded. Open image · Explore the chart · Measured Lab · CC BY 4.0
TaskMistral Large 4, per taskGLM 5.3 FlashX, per taskMistral Large 4, per monthGLM 5.3 FlashX, per monthMistral Large 4 vs GLM 5.3 FlashX, per task
L1Micro-task (classification or strict JSON extraction)$0.0015per L1 task$0.0008per L1 task$21.46per month$11.75per month+82.6 %
L2Deep analysis over a 50,000-token document$0.118per L2 task$0.063per L2 task$1,716.96per month$913.67per month+87.9 %
L3Agentic coding loop, 15 steps$0.940per L3 task$0.498per L3 task$13,720.35per month$7,270.58per month+88.7 %

Calculated Per month: 20 tasks an hour around the clock, 730 hours.

Prices USD per 1M tokens

PriceMistral Large 4GLM 5.3 FlashX
Input, per 1M tokens$0.700$0.370
Output, per 1M tokens$2.10$1.25
Price fromProvider's price list · source page PublishedOpenRouter · source page (data) Published
Read · the United States · the United States
Context window1,048,576 tokens1,048,576 tokens

What can I use it for? six common tasks, our data checks

Quality on your task: not measured by Measured Lab yet.

TaskMistral Large 4GLM 5.3 FlashX
Answer customer messagesFits on price and context—
Pull data from invoices and documents with strict JSON and page imagesFits on price and context—
Summarize documents and meetingsFits on price and context—
Translate contentFits on price and context—
Chat assistant on your websiteFits on price and context—
Write and review code with tool callsFits on price and context—
Tasks it fits6 of 6—

Checks of our data for six common tasks: a published price, a context window and answer length for the task and, where the task needs them, strict JSON output, page images and tool calls; prices, cost a month and terms for each model on its model card. GLM 5.3 FlashX is not in the model picker. Compare models for your own task in the model picker.

What breaks when you switch Published provider documentation

Moving from Mistral to Z.ai, 2 of the 5 features may not carry over, by each provider’s documentation:

  • Strict JSON schemas — Mistral: yes; Z.ai: partly. Code that parses answers without checks starts failing where a provider promises only valid JSON, not your schema.
  • Parallel tool calls — Mistral: yes; Z.ai: not stated. An agent built around several calls per turn gets one call per turn: more round trips, more input tokens, slower runs.

Moving from Z.ai to Mistral, 1 of the 5 features may not carry over, by each provider’s documentation:

  • Reasoning with tools — Z.ai: yes; Mistral: not stated. Switching reasoning on can rule out some tool settings or output formats, or the other way round.
Feature of the APIMistralZ.ai
Strict JSON schemasYesPartly
Parallel tool callsYesNot stated
Streamed tool argumentsNot statedPartly
Reasoning with toolsNot statedYes
Cache covers tool definitionsNot statedNot stated

What each provider’s own API documentation says, read ; “not stated” is not the same as “no”. Quotes and sources: what breaks when you switch AI APIs.

Price changes in the last 30 days

  • The listed price of Mistral Large 4 changed on on OpenRouter: input $0.68 → $1.36, output $2.09 → $4.18 per 1M tokens.
  • The listed price of Mistral Large 4 changed on on OpenRouter: input $1.36 → $0.70, output $4.18 → $2.10 per 1M tokens.
  • The listed price of Mistral Large 4 changed on on the provider's price list: input $1.36 → $0.70, output $4.18 → $2.10 per 1M tokens.

All model comparisons · How we check prices

Explore the numbers

Calculated from published rates

The same work. Two bills.

Input and visible output are priced separately for the same task.

$0.055L2 task differenceGLM 5.3 FlashX less
$803.29L2 monthly differenceAssumption: 20 tasks/hour × 730 hours
Mistral Large 4$0.118GLM 5.3 FlashX$0.063$0.00$0.05$0.10$0.15Mistral Large 4$0.118GLM 5.3 FlashX$0.063$0.00$0.05$0.10$0.15
Fresh inputVisible output

159,000 input + 3,000 visible output tokens per task. No cache discount; hidden reasoning excluded.

GLM 5.3 FlashX costs $0.055 less per task.

Mistral Large 4$0.0015GLM 5.3 FlashX$0.0008$0.00$0.0005$0.001$0.0015Mistral Large 4$0.0015GLM 5.3 FlashX$0.0008$0.00$0.0005$0.001$0.0015
Fresh inputVisible output

1,500 input + 200 visible output tokens per task. No cache discount; hidden reasoning excluded.

GLM 5.3 FlashX costs $0.0007 less per task.

Mistral Large 4$0.940GLM 5.3 FlashX$0.498$0.00$0.50$1.00Mistral Large 4$0.940GLM 5.3 FlashX$0.498$0.00$0.50$1.00
Fresh inputVisible output

1,315,500 input + 9,000 visible output tokens per task. No cache discount; hidden reasoning excluded.

GLM 5.3 FlashX costs $0.442 less per task.

Mistral Large 4$1,716.96GLM 5.3 FlashX$913.67$0$500$1,000$1,500$2,000Mistral Large 4$1,716.96GLM 5.3 FlashX$913.67$0$500$1,000$1,500$2,000
Fresh inputVisible output

Assumption: 20 tasks/hour × 730 hours = 14,600 tasks/month.

Observed · United States

Wait and streaming speed

The same short request. Each route must have successful answers on at least two dates.

Mistral Large 4

Direct API · Mistral · 65 answers on 13 dates.

First answer token 634 ms
Observed range · dot = median0.02.04.06.08.0secondsObserved range · dot = median0.02.04.06.08.0seconds

Mistral Large 4 · 634 ms median; observed range 489 ms–7.39 s.

Output speed 91.3 tokens/s
Observed range · dot = median0100200300400tokens/sObserved range · dot = median0100200300400tokens/s

Mistral Large 4 · 91.3 tokens/s median; observed range 12.9 tokens/s–212 tokens/s.

Observed · independent medians

More output than the answer shows.

Visible answer64Hidden reasoning0020406080Visible answer64Hidden reasoning0020406080

Calculated median cost per request: $0.000376.

Visible outputHidden reasoning

Visible output and hidden reasoning are independent medians and are not added together. Request cost is the median of individually priced requests. Hidden reasoning is billed at the output rate.

Published context window: 1,048,576 tokens.

GLM 5.3 FlashX

Collecting

No route for this model has passed the publication threshold.

Published context window: 1,048,576 tokens.

Published · provider documentation

What changes when you switch

A matching feature list does not measure migration quality. “Not stated” is not the same as “No”.

Feature of the APIMistralZ.ai
Strict JSON schemasYesPartly
Parallel tool callsYesNot stated
Streamed tool argumentsNot statedPartly
Reasoning with toolsNot statedYes
Cache covers tool definitionsNot statedNot stated

Mistral → Z.ai: Review Strict JSON schemas, Parallel tool calls.

Z.ai → Mistral: Review Reasoning with tools.

Read the dated documentation and feature details.

Sources: this page; published model prices (data (JSON)); task assumptions (data (JSON)). Published prices · Observed responses · Calculated scenarios · Assumptions stated with each chart.