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GLM 4.6 vs Mistral Large 3

Token pricing, context window and real monthly cost, side by side. Mistral Large 3 is the cheaper of the two for a typical workload — about 1.2× less.

cheaper for a typical workload
Mistral Large 3
saves 14% vs GLM 4.6 at 1,500 in / 500 out × 200,000/mo
GLM 4.6 $350/mo
Mistral Large 3 $300/mo
Flagship vs Mid cheaper and a larger technical class on spec — the stronger pick here

Positioned by published specs — size, context and modality — not measured performance; a smaller model can sometimes outperform a larger one on your task.

Cost versus technical classGLM 4.6: $350/mo, Mid class. Mistral Large 3: $300/mo, Flagship class. Plotted by monthly cost (horizontal) against technical class from size and context (vertical).best valuepremiumbudgetoverpricedGLM 4.6$350/mo · MidMistral Large 3$300/mo · Flagship← lower cost · monthly $ · higher cost →
↑ technical class (size & context)
Mistral Large 3 is the larger class — and the cheaper one

By size & context, Mistral Large 3 (Flagship) sits above GLM 4.6 (Mid) yet costs less. On spec it's the straightforward pick; choose GLM 4.6 only for something it offers that Mistral Large 3 doesn't — modality, provider or ecosystem.

GLM 4.6 versus Mistral Large 3 specifications and price.
metric GLM 4.6 Mistral Large 3
Input / 1M $0.50 $0.50
Output / 1M $2.00 $1.50
Context 205K 262K
Technical class Mid Flagship
Cost @ typical workload $350/mo $300/mo
Modality Text only text + image
Price source routed list
Provider Z.AI Mistral

Snapshot . Cost uses a typical workload; tune it in the calculator. How we measure →

Which should you pick?

On a typical workload, Mistral Large 3 costs $300/mo against GLM 4.6's $350/mo — roughly 1.2× cheaper. But the ranking depends on your output-to-input ratio: output is the pricier direction for both, so an output-heavy job (code generation, long answers) widens the gap while an input-heavy one (summarization, retrieval) narrows it. If you need to fit more in a single prompt, Mistral Large 3 has the larger 262K-token window (~393 pages). Only Mistral Large 3 accepts image input — decisive if your prompts include images. By technical class (size and context, not measured capability), Mistral Large 3 is the larger class (Flagship) and the cheaper of the two — on spec, the stronger pick here.

These are list and routed market prices, not measured outcomes. Two models at the same rate can still cost different amounts to finish the same task, because verbose or reasoning-heavy models emit more tokens. That gap is exactly what measured cost-per-task captures. The technical-class read above is likewise spec-based — size, context and modality, not measured performance — so a smaller model can still outperform a larger one on your specific task.

Frequently asked questions

Is GLM 4.6 or Mistral Large 3 cheaper?

For a typical workload (1,500 input + 500 output tokens × 200,000 requests/month), Mistral Large 3 costs $300/mo versus $350/mo for GLM 4.6 — about 1.2× less. Because output is priced higher than input, the winner can flip if your workload writes much more or less than this; check your own numbers in the calculator.

What's the main difference between GLM 4.6 and Mistral Large 3?

On price, GLM 4.6 is $0.50/$2.00 per 1M (in/out) and Mistral Large 3 is $0.50/$1.50. By technical class (size & context) it's Mid (GLM 4.6) versus Flagship (Mistral Large 3). Mistral Large 3 has the larger context window at 262K tokens. Only Mistral Large 3 accepts image input.

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