AI Models · Open-Source vs Paid

GLM 5.3 Open vs GPT-6 Sol (batch) Paid

GLM 5.3 vs GPT-6 Sol (batch) compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

GPT-6 Sol (batch) — full profile ›

Prices & specs refreshed from live data · olud.ai

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

GLM 5.3OpenZ.AI

$0.7 /M input
$2.2 /M outputNo per-token fees if you self-host

TypeOpen-weight

Context window1M tokens

MultimodalNo

Self-hostYes

GPT-6 Sol (batch)PaidOpenAI

$1 /M input
$5 /M outputManaged API (no infra to run)

TypeProprietary

Context window1.1M tokens

MultimodalYes

Self-hostNo

Choose GLM 5.3 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 GPT-6 Sol (batch) if you want frontier capability through a managed API with zero infrastructure to run.

GLM 5.3 vs GPT-6 Sol (batch) specs

Spec	GLM 5.3	GPT-6 Sol (batch)	Winner
Maker	Z.AI	OpenAI	–
Type	Open-weight	Proprietary	GLM 5.3
Context window	1M tokens	1.1M tokens	GPT-6 Sol (batch)
Input price	$0.7/M · free self-host	$1/M	GLM 5.3
Output price	$2.2/M · free self-host	$5/M	GLM 5.3
Vision / multimodal	No	Yes	GPT-6 Sol (batch)
Tool / function calling	Yes	Yes	= Tie
Self-hostable	Yes	No (API only)	GLM 5.3
License	MIT	Proprietary	GLM 5.3

Price gap & when to choose each

2.3×cheaper per output token

GLM 5.3 is ~2.3× cheaper than GPT-6 Sol (batch) on output tokens ($2.2 vs $5 per M tokens).

Choose GLM 5.3 if…

You want to self-host or run on your cloud
You prioritize data privacy & control
You want the lowest operating costs
You are building open or reproducible AI

Choose GPT-6 Sol (batch) if…

You want frontier performance through a managed API
You need the longer 1.1M context window
You value reliability & ecosystem
You don't want to manage infrastructure

Feature comparison

Capability	GLM 5.3	GPT-6 Sol (batch)
Open weights (downloadable)	✓	✗
Self-hostable	✓	✗
Runs fully offline	✓	✗
Vision / multimodal	✗	✓
Tool / function calling	✓	✓
1M+ context window	✓	✓

Benchmarks: GLM 5.3 vs GPT-6 Sol (batch)

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

GLM 5.3

GPT-6 Sol (batch)

Intelligence index

44.8

47.6

Coding index

74.8

–

GPQA

91.7%

–

Humanity's Last Exam

42.3%

47.9%

Long Context Reasoning

79.7%

83.7%

SciCode

59%

57.6%

τ-Bench Banking

50.3%

–

Terminal-Bench

83.9%

–

Speed

68 tok/s

0 tok/s

Latency

2.97s

Intelligence per $

20.8

11.9

Benchmark data by Artificial Analysis.

How GLM 5.3 and GPT-6 Sol (batch) score

🏆 Best value & openness: GLM 5.3 (4.6 vs 3.3 / 5)

Criterion	GLM 5.3	GPT-6 Sol (batch)
Cost-efficiency	4.5	4.0
Context window	5.0	5.0
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 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...

GPT-6 Sol (batch) Paid

OpenAI · Proprietary

GPT-6 Sol is the cost-efficient high-end model in OpenAI's GPT-6 series, positioned below the flagship GPT-6 Astra and above the fast GPT-6 Luna tier. It is suited for demanding professional...

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

Frequently asked questions

Is GLM 5.3 as good as GPT-6 Sol (batch)?

GLM 5.3 is open-weight and competitive on many tasks, but GPT-6 Sol (batch) 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 locally?

Yes. GLM 5.3 has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. GPT-6 Sol (batch) is API-only and cannot be self-hosted.

How much cheaper is GLM 5.3?

GLM 5.3 costs $2.2/M output vs $5/M for GPT-6 Sol (batch) — roughly 2x cheaper via API, and free if you self-host.

GLM 5.3 vs GPT-6 Sol (batch) — which should I pick in 2026?

Choose GLM 5.3 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 GPT-6 Sol (batch) if you want frontier capability through a managed API with zero infrastructure to run.

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