AI model comparison

Qwen3 Coder Next vs GLM 4.6V

Pricing, context window, benchmarks, and features compared side by side. Or skip the guesswork and send one prompt to both.

Qwen3-Coder-Next is an open-weight causal language model optimized for coding agents and local development workflows.

Input / 1M
$0.12
Output / 1M
$0.80
Context
262K

GLM-4.6V is a large multimodal model designed for high-fidelity visual understanding and long-context reasoning across images, documents, and mixed media.

Input / 1M
$0.30
Output / 1M
$0.90
Context
131K

At a glance

Quick verdict

How the two models stack up on the things people ask about most.

Lower price

qwen logo

Qwen3 Coder Next

1.6x cheaper for a typical chat

Higher intelligence score

z-ai logo

GLM 4.6V

11.2 vs 9.2 on Artificial Analysis

Larger context window

qwen logo

Qwen3 Coder Next

262K vs 131K tokens

Newer release

qwen logo

Qwen3 Coder Next

Released February 4, 2026

Benchmarks

Benchmark scores

Independent scores from Artificial Analysis. Higher is better.

Intelligence index

qwen logoQwen3 Coder Next9.2
z-ai logoGLM 4.6V11.2

Coding index

qwen logoQwen3 Coder Next36.2
z-ai logoGLM 4.6VNot available

Agentic index

qwen logoQwen3 Coder Next0.9
z-ai logoGLM 4.6VNot available

Pricing

Qwen3 Coder Next vs GLM 4.6V API pricing

Per-token API rates. Cheaper option highlighted.

Metricqwen logoQwen3 Coder Nextz-ai logoGLM 4.6V
Input tokensPer 1M tokens$0.12$0.30
Output tokensPer 1M tokens$0.80$0.90
Cached input (read)Per 1M tokens$0.07$0.06
Cache writePer 1M tokensNot availableNot available

What it costs in practice

Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.

Chat message

2K in, 500 out

qwen logoQwen3 Coder Next$0.64
z-ai logoGLM 4.6V$1.05

Coding task

30K in, 4K out

qwen logoQwen3 Coder Next$6.80$5.30 cached
z-ai logoGLM 4.6V$12.60$5.25 cached

Long document summary

150K in, 2K out

qwen logoQwen3 Coder Next$19.60$12.10 cached
z-ai logoGLM 4.6V$46.80$10.05 cached

Specs

Context window and capabilities

How much each model can read, how much it can write, and what it accepts as input.

Metricqwen logoQwen3 Coder Nextz-ai logoGLM 4.6V
Context window262K tokens131K tokens
Max output236K tokens33K tokens
Input typesTextImage, Text, Video
Output typesTextText
Reasoning effort levelsNot availableNot available
Default reasoning effortNot availableNot available
Release dateFebruary 4, 2026December 8, 2025

Features

Supported features

API features available for each model.

Metricqwen logoQwen3 Coder Nextz-ai logoGLM 4.6V
Tool callingSupportedSupported
Structured outputsSupportedNot supported
JSON modeSupportedSupported
ReasoningNot supportedSupported
TemperatureSupportedSupported
Stop sequencesSupportedSupported
Deterministic seedSupportedSupported
Verbosity controlNot supportedNot supported

Our take

Qwen3 Coder Next is 1.6x cheaper for a typical chat. GLM 4.6V scores higher on the Artificial Analysis Intelligence Index (11.2 vs 9.2). Qwen3 Coder Next has the larger context window (262K vs 131K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.

FAQ

Frequently asked questions

Is Qwen3 Coder Next or GLM 4.6V cheaper?

Qwen3 Coder Next is cheaper for a typical chat (2K input tokens and 500 output tokens). Qwen3 Coder Next costs $0.12 per 1M input tokens and $0.80 per 1M output tokens, while GLM 4.6V costs $0.30 per 1M input tokens and $0.90 per 1M output tokens.

Which has a bigger context window, Qwen3 Coder Next or GLM 4.6V?

Qwen3 Coder Next supports up to 262K tokens of context, compared with 131K for GLM 4.6V.

Is Qwen3 Coder Next smarter than GLM 4.6V?

On the Artificial Analysis Intelligence Index, Qwen3 Coder Next scores 9.2 and GLM 4.6V scores 11.2, putting GLM 4.6V ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.

Can I use Qwen3 Coder Next and GLM 4.6V at the same time?

Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3 Coder Next and GLM 4.6V answer side by side and keep the better response.

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Why choose? Ask both.

Send one prompt to Qwen3 Coder Next and GLM 4.6V at the same time. Compare the answers side by side and keep the best one.