AI Models · Open-Source vs Paid

GLM 5.3 (batch) Open vs Mistral Large 3 2512 Paid

GLM 5.3 (batch) vs Mistral Large 3 2512 compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

Mistral Large 3 2512 — full profile ›

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

GLM 5.3 (batch)OpenZ.AI

$0.45 /M input
$2 /M outputNo per-token fees if you self-host

TypeOpen-weight

Context window1M tokens

MultimodalNo

Self-hostYes

Mistral Large 3 2512PaidMistral AI

$0.5 /M input
$1.5 /M outputManaged API (no infra to run)

TypeProprietary

Context window262K tokens

MultimodalYes

Self-hostNo

Choose GLM 5.3 (batch) if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Mistral Large 3 2512 if you want frontier capability through a managed API with zero infrastructure to run.

GLM 5.3 (batch) vs Mistral Large 3 2512 specs

Spec	GLM 5.3 (batch)	Mistral Large 3 2512	Winner
Maker	Z.AI	Mistral AI	–
Type	Open-weight	Proprietary	GLM 5.3 (batch)
Context window	1M tokens	262K tokens	GLM 5.3 (batch)
Input price	$0.45/M · free self-host	$0.5/M	GLM 5.3 (batch)
Output price	$2/M · free self-host	$1.5/M	Mistral Large 3 2512
Vision / multimodal	No	Yes	Mistral Large 3 2512
Tool / function calling	Yes	Yes	= Tie
Self-hostable	Yes	No (API only)	GLM 5.3 (batch)
License	MIT	Proprietary	GLM 5.3 (batch)

Price gap & when to choose each

Choose GLM 5.3 (batch) if…

You want to self-host or run on your cloud
You need the longer 1M context window
You prioritize data privacy & control
You are building open or reproducible AI

Choose Mistral Large 3 2512 if…

You want frontier performance through a managed API
You want the lower output price
You value reliability & ecosystem
You don't want to manage infrastructure

Feature comparison

Capability	GLM 5.3 (batch)	Mistral Large 3 2512
Open weights (downloadable)	✓	✗
Self-hostable	✓	✗
Runs fully offline	✓	✗
Vision / multimodal	✗	✓
Tool / function calling	✓	✓
1M+ context window	✓	✗

Benchmarks: GLM 5.3 (batch) vs Mistral Large 3 2512

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

GLM 5.3 (batch)

Mistral Large 3 2512

Intelligence index

31.7

–

Coding index

74.8

20.1

GPQA

91.7%

68%

Humanity's Last Exam

42.3%

4.2%

Long Context Reasoning

79.7%

36%

SciCode

59%

36.6%

τ-Bench Banking

50.3%

5.8%

Terminal-Bench

83.9%

12%

Math index

–

MMLU-Pro

–

80.7%

LiveCodeBench

–

46.5%

AIME 2025

–

38%

IFBench

–

36.2%

τ²-Bench

–

24.6%

Terminal-Bench Hard

–

15.9%

Speed

83.6 tok/s

0 tok/s

Latency

2.4s

Intelligence per $

14.7

–

Benchmark data by Artificial Analysis.

How GLM 5.3 (batch) and Mistral Large 3 2512 score

🏆 Best value & openness: GLM 5.3 (batch) (4.6 vs 3.2 / 5)

Criterion	GLM 5.3 (batch)	Mistral Large 3 2512
Cost-efficiency	4.5	4.5
Context window	5.0	4.0
Openness	5.0	1.5
Self-hosting	5.0	1.0
Multimodality	3.5	5.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

GLM 5.3 (batch) Open

Z.AI · Open-weight

GLM-5.3 is a large-scale reasoning model from Z.ai, built for complex software engineering and long-horizon agent tasks. It supports text input and output with a 1M-token context window, and improves...

Mistral Large 3 2512 Paid

Mistral AI · Proprietary

Mistral Large 3 2512 is Mistral’s most capable model to date, featuring a sparse mixture-of-experts architecture with 41B active parameters (675B total), and released under the Apache 2.0 license.

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked

GLM 5.3GLM 5.3 PrimeGLM 5.2GLM 5.1GLM 5 TurboGLM 5V TurboGLM 5GLM 4.6GLM 4.5GLM 4.7GLM 4.5VGLM 5.3 FlashXGLM 4.6VGLM 4.5 AirGLM 4.7 FlashGLM 5.3 Flash (batch)GLM 5.3 Flash

Frequently asked questions

Is GLM 5.3 (batch) as good as Mistral Large 3 2512?

GLM 5.3 (batch) is open-weight and competitive on many tasks, but Mistral Large 3 2512 may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.

Can I run GLM 5.3 (batch) locally?

Yes. GLM 5.3 (batch) has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Mistral Large 3 2512 is API-only and cannot be self-hosted.

GLM 5.3 (batch) vs Mistral Large 3 2512 — which should I pick in 2026?

Choose GLM 5.3 (batch) if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Mistral Large 3 2512 if you want frontier capability through a managed API with zero infrastructure to run.

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