Head-to-head AI model comparison graphic: GLM-5.3-Flash (Z AI) vs Mistral Large 4 Preview (Mistral). Intelligence index 27.8 vs 25.3; output speed 56 vs 130 tokens per second; time to first token 1.6s vs 1.9s; output price $0.50 vs $2.10 per million tokens; input price $0.15 vs $0.70 per million tokens. franklineh.com
GLM-5.3-Flash vs Mistral Large 4 Preview: head-to-head AI benchmark comparison. GLM-5.3-Flash leads on intelligence index, time to first token, output price and input price; Mistral Large 4 Preview leads on output speed.
Head to headUpdated

GLM-5.3-Flash vs Mistral Large 4 Preview compared

GLM-5.3-Flash leads the intelligence index 27.8 to 25.3. GLM-5.3-Flash costs 77% less on blended price. Compare price, speed, latency and a clear verdict.

Pick it for GLM-5.3-Flash

  • Lower cost: $0.25 against $1.12 for 1 million input and 200,000 output tokens.
  • Higher intelligence index: 27.8 against 25.3.
  • Shorter wait for the first token: 1.6 seconds against 1.9 seconds.

Pick it for Mistral Large 4 Preview

  • Faster output once writing: 130 tokens per second against 56 tokens per second, which wins on total time beyond about 50 tokens.
  • The newer release (October 2026).

By the numbers

MetricGLM-5.3-FlashMistral Large 4 Preview
Intelligence Index27.825.3
Input price (per 1M tokens)$0.15$0.70
Output price (per 1M tokens)$0.50$2.10
Output speed (tokens/s)56130
Time to first token1.6s1.9s
Release date2026-08-262026-10-06

GLM-5.3-Flash and Mistral Large 4 Preview are close rivals from Z AI and Mistral. The sharpest difference is price: GLM-5.3-Flash costs $0.50 per million output tokens, against $2.10 for Mistral Large 4 Preview. What follows is built entirely from tracked data, so where the catalogue is silent, this page says so instead of guessing.

What they cost

The list prices are $0.15 in and $0.50 out for GLM-5.3-Flash, and $0.70 in and $2.10 out for Mistral Large 4 Preview, per million tokens. For output tokens, Mistral Large 4 Preview is 4.2 times the price of GLM-5.3-Flash.

A reference job of 1 million input tokens and 200,000 output tokens costs $0.25 with GLM-5.3-Flash and $1.12 with Mistral Large 4 Preview, so GLM-5.3-Flash saves $0.87. For an agent that reads 50 million tokens and writes 5 million in a month, GLM-5.3-Flash would come in 78% lower: $10.00 for GLM-5.3-Flash against $45.50 for Mistral Large 4 Preview.

Speed and latency

Once a response is under way, GLM-5.3-Flash produces roughly 56 tokens per second against 130 tokens per second for Mistral Large 4 Preview. That makes Mistral Large 4 Preview roughly 2.3 times as fast at writing. Time to first token is 1.6 seconds for GLM-5.3-Flash and 1.9 seconds for Mistral Large 4 Preview. So the two pull in opposite directions, with GLM-5.3-Flash quicker off the mark and Mistral Large 4 Preview quicker once it gets going; the crossover is around 50 tokens.

For a 1,000-token response, first token plus generation comes to roughly 20 seconds on GLM-5.3-Flash and 9.6 seconds on Mistral Large 4 Preview.

When they came out

The release dates are August 26, 2026 for GLM-5.3-Flash and October 6, 2026 for Mistral Large 4 Preview, 41 days apart. They are effectively contemporaries.

GLM-5.3-Flash leads on the intelligence index

The catalogue puts GLM-5.3-Flash at 27.8 and Mistral Large 4 Preview at 25.3 on its intelligence index. It is a small margin for an index that averages many evaluations.

Across the 109 active models with an intelligence score in the catalogue, GLM-5.3-Flash ranks 63rd and Mistral Large 4 Preview ranks 67th.

There are no coding or math index scores for either model in the catalogue, which keeps this comparison at the aggregate level.

Score per dollar

A blunt value measure, blended price over intelligence score, puts GLM-5.3-Flash at $0.0085 and Mistral Large 4 Preview at $0.042 per point. With the higher score and the lower cost per point, GLM-5.3-Flash is the better value per point on these numbers.

FAQ

Is Mistral Large 4 Preview better than GLM-5.3-Flash?

Neither wins everywhere: GLM-5.3-Flash scores higher on the intelligence index, 27.8 to 25.3; GLM-5.3-Flash is 77% cheaper on blended price; Mistral Large 4 Preview streams output 2.3 times as fast; and GLM-5.3-Flash reaches its first token sooner.

Which is cheaper, GLM-5.3-Flash or Mistral Large 4 Preview?

GLM-5.3-Flash is cheaper on a blended basis. GLM-5.3-Flash lists $0.15 per million input tokens and $0.50 per million output tokens; Mistral Large 4 Preview lists $0.70 and $2.10. For 1 million input and 200,000 output tokens that is $0.25 against $1.12.

Which model has lower latency?

Mistral Large 4 Preview generates output faster, at 130 tokens per second against 56 tokens per second. GLM-5.3-Flash reaches its first token sooner (1.6 seconds against 1.9 seconds). Counting the first-token wait, GLM-5.3-Flash finishes short replies first and Mistral Large 4 Preview pulls ahead beyond about 50 tokens.

Was this comparison tested by hand?

The figures are the recorded benchmark, price and speed data in Franklin AI's model catalogue. This page is written from that data automatically; neither model was tested by hand for it.

Who makes GLM-5.3-Flash and Mistral Large 4 Preview?

GLM-5.3-Flash is made by Z AI and Mistral Large 4 Preview by Mistral. GLM-5.3-Flash was released on August 26, 2026 and Mistral Large 4 Preview on October 6, 2026.

Final whistle

Bottom line: on balance the numbers favour GLM-5.3-Flash, though Mistral Large 4 Preview keeps a case of its own. Pick GLM-5.3-Flash if cost matters ($0.50 against $2.10 per million output tokens) and you need the higher overall score (27.8 against 25.3). Pick Mistral Large 4 Preview if your outputs often run past about 50 tokens and you want the more recent release.

Where the numbers come from

The scores, speed and prices in this comparison come from independent third-party model evaluations that Franklin AI syncs each day, and the article was written from a snapshot of them. For the latest results, open the GLM-5.3-Flash and Mistral Large 4 Preview pages. The AI Benchmark methodology explains how that data is collected and shown.

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