GLM-5.2 vs Mistral Medium 3.5
Pricing & Specs

Zhipu AI vs Mistral, side by side from a live registry. Specs below, then benchmark both on your own task.

$4.4

GLM-5.2 output / 1M

$7.5

Mistral Medium 3.5 output / 1M

262.144K / 128K

context windows

TL;DR: On a typical task (1K input + 500 output tokens), GLM-5.2 is about 1.5x cheaper than Mistral Medium 3.5. But per-token price is not cost per result: a cheaper model that needs more tokens, retries, or hand-holding can end up more expensive on your workload. The specs below are facts; which one is better at YOUR task is measurable, not guessable.

API Pricing: GLM-5.2 vs Mistral Medium 3.5

Tokens	GLM-5.2	Mistral Medium 3.5
Input	$1.4 / 1M	$1.5 / 1M
Output	$4.4 / 1M	$7.5 / 1M
Cached input	$0.26 / 1M	- / 1M

What that means in practice (1K input + 500 output tokens)

1x One typical task: $0.0036 on GLM-5.2 vs $0.0052 on Mistral Medium 3.5

1K 1,000 runs: $3.60 vs $5.25

💡 Real cost depends on how verbose each model is on YOUR prompts. Benchmark to measure actual tokens, not estimates.

Specs Compared

Spec	GLM-5.2	Mistral Medium 3.5
Context window	262.144K tokens	128K tokens
Max output tokens	-	-
Input modalities	text	text, image
Knowledge cutoff	-	-
Latency (measured)	-	~171ms median response
Reasoning model	Yes	No
Tool / function calling	Yes	Yes
JSON mode	Yes	Yes
Prompt caching	No	No

When to Choose Which

→ High volume on a budget: start with GLM-5.2; only pay for Mistral Medium 3.5 if the benchmark shows a quality gap that matters.

→ Long documents or big codebases: GLM-5.2 has the larger context window (262.144K vs 128K tokens).

→ Multi-step reasoning tasks: GLM-5.2 is a reasoning model; expect better step-by-step work at the cost of more output tokens.

→ Everything else: the honest answer is to benchmark both on your actual task. Quality differences are task-specific and shift with every release.

FAQ

Which is cheaper, GLM-5.2 or Mistral Medium 3.5?

GLM-5.2 costs $1.4/$4.4 per 1M input/output tokens; Mistral Medium 3.5 costs $1.5/$7.5. On a typical task (1K input + 500 output tokens), GLM-5.2 is about 1.5x cheaper than Mistral Medium 3.5.

Which has the bigger context window, GLM-5.2 or Mistral Medium 3.5?

GLM-5.2 has a 262.144K-token context window; Mistral Medium 3.5 has 128K tokens.

Is GLM-5.2 better than Mistral Medium 3.5?

It depends on the task. Generic leaderboards won't tell you which one wins on YOUR workload. OpenMark lets you benchmark GLM-5.2 and Mistral Medium 3.5 head to head on your own task with real API calls, no API keys needed, free tier available.

GLM-5.2 or Mistral Medium 3.5 for YOUR Task?

Spec tables can't answer that. Run both head to head on your actual workload:
real API calls, ranked results with accuracy, cost, and latency. Free tier available.

Benchmark Both Free →

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GLM-5.2 vs Mistral Medium 3.5Pricing & Specs