GLM-5.3 vs GPT-6.1 Sol for coding

Zhipu's GLM-5.3 and OpenAI's GPT-6.1 Sol for coding, compared on the figures Alevr runs on: list prices, context window, speed and intelligence grades, and the plan that includes each.

Zhipu

GLM-5.3

Z.ai's newest flagship: coding and long-horizon agents, always reasoning.

Input / output per M
$1.40 / $4.40
Context
1M
In Alevr from
Pro

OpenAI

GPT-6.1 Sol

Near-Astra performance for complex work at a lower cost.

Input / output per M
$2.00 / $10.00
Context
1.05M
In Alevr from
Pro

Side by side.

GLM-5.3 vs GPT-6.1 Sol for coding, figure by figure
GLM-5.3GPT-6.1 Sol
LabZhipuOpenAI
ReleasedAug 2026Sep 2026
Context window1,000,000 tokens1,050,000 tokens
Input, per M tokens$1.40$2.00
Cached input, per M tokens$0.26$0.10
Output, per M tokens$4.40$10.00
Intelligence grade9 / 10Catalog estimate9 / 10Catalog estimate
Speed grade9 / 10Catalog estimate5 / 10Catalog estimate
Adjustable thinkingYesYes
Reads imagesNoYes
Searches the web in AlevrYesYes
Drives agents and CodeYesYes
Included in Alevr fromPro€24 a month incl. VATPro€24 a month incl. VAT

Which to pick.

Each answer below is a comparison of the figures above, nothing more. Costs use a coding turn of 20,000 input tokens (80% of them a cached repository context) and 1,500 output tokens.

For long coding sessions on a budgetGLM-5.3
At list prices, 1,000 requests of a coding turn of 20,000 input tokens (80% of them a cached repository context) and 1,500 output tokens cost $16.36 on GLM-5.3 and $24.60 on GPT-6.1 Sol. GLM-5.3 is about 1.5× cheaper for this workload.
For hard bugs and large refactorsNo clear difference
Both carry the same intelligence grade, 9 out of 10. Neither model has an Artificial Analysis measurement in Alevr's latest benchmark sync yet, so both grades are the catalog's estimates and may move when one lands.
For agent loops that call toolsNo clear difference
Both are marked in Alevr's catalog as reliably driving a multi-step tool loop, so either can run Alevr Code and agents.
For re-reading the same repositoryGPT-6.1 Sol
A cached input token costs $0.26 per million on GLM-5.3 and $0.10 on GPT-6.1 Sol. Coding sessions resend the same files every turn, and a cache hit is billed at this rate instead of the full input price.
For quick back-and-forthGLM-5.3
GLM-5.3 has the higher speed grade, 9 against 5 out of 10.
For whole-repository contextNo clear difference
The context windows are close: 1M and 1.05M tokens.
On a smaller Alevr planNo clear difference
Both are included from Pro, €24 a month incl. VAT.

Pick GLM-5.3

  • for long coding sessions on a budget
  • for quick back-and-forth

Pick GPT-6.1 Sol

  • for re-reading the same repository

Use both in Alevr.

Alevr puts Claude, GPT, Gemini and 150+ models in one subscription, hosted in France. Both of these are included from Pro, €24 a month incl. VAT. Plans start at €10.80.

More comparisons

Where these figures come from

Prices are each lab's API list price in US dollars per million tokens, as recorded in the model catalog Alevr bills from. Cached input is the rate a prompt-cache hit is billed at. Alevr subscribers do not pay per token: each plan includes a monthly usage budget.

Intelligence and speed are Alevr's 1 to 10 grades. Where Artificial Analysis has measured a model, the grade is computed from its Intelligence Index and median output speed. A model it has not measured yet carries an estimate from the lab's positioning, and the page says so. The benchmark sync last ran on 22 September 2026.

The figures change when labs change their prices. These pages are rebuilt from the same catalog each time Alevr ships, so they match what the app shows.

OpenRouter, a reseller, lists GLM-5.3 (z-ai/glm-5.3) at $0.84 input and $2.64 output per million tokens. Resale rates can differ from the lab's own.