Model comparison
gpt-oss-120b vs GLM 5.2
Price history, scores and specs for both models, line by line. Every value shows where it came from and when we last confirmed it.
OpenAI
gpt-oss-120b
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases.
Z Ai
GLM 5.2
GLM 5.2 is a large-scale reasoning model from Z.ai.
Quick take
Where each one leads
- GLM 5.2 costs less to send text to: $0.0070 per million tokens, against $0.150 per million tokens for gpt-oss-120b.
- gpt-oss-120b costs less per word it writes: $0.600 per million tokens, against $6.80 per million tokens for GLM 5.2.
- GLM 5.2 reads more at once: 1,048,576 tokens, against 131,072 tokens.
- GLM 5.2 scores higher on the Artificial Analysis Intelligence Index: 33.7 to 3.8.
- GLM 5.2 scores higher on the Artificial Analysis Coding Index: 68.8 to 30.4.
- More people run GLM 5.2 through OpenRouter than gpt-oss-120b right now.
Each line comes from a checked value in the tables below. Pick on your workload: price and usage matter for high volume, context and scores for long documents and agent loops.
Price history
Prices side by side, day by day
- gpt-oss-120b
- GLM 5.2
- gpt-oss-120b
- GLM 5.2
Prices are the listed OpenRouter base rates in US dollars. A day we could not confirm is left out of the line, never filled in.
Price
What each one costs now
| Measure | gpt-oss-120b | GLM 5.2 |
|---|---|---|
| Input price | $0.150 per million tokens | $0.0070 per million tokens Leads |
| Output price | $0.600 per million tokens Leads | $6.80 per million tokens |
Scores
Benchmarks, with source and date
| Measure | gpt-oss-120b | GLM 5.2 |
|---|---|---|
| Artificial Analysis Intelligence Index | 3.8 | 33.7 Leads |
| Artificial Analysis Coding Index | 30.4 | 68.8 Leads |
| Artificial Analysis Agentic Index | 3.7 | 38.4 Leads |
| LMArena text rating (Elo) | 1,365 | 1,469 Leads |
| LMArena web development rating (Elo) | Not checked yet | 1,608 |
| Design Arena rating (Elo) | 986 | 1,289 Leads |
Specs
Context, modalities and tool use
| Measure | gpt-oss-120b | GLM 5.2 |
|---|---|---|
| Context window | 131,072 tokens | 1,048,576 tokens Leads |
| Reads | Text | Text |
| Writes | Text | Text |
| Tool calling | Yes | Yes |
| Reasoning mode | Yes | Yes |
| Open weights | Yes | Yes |
| Listed since | 5 Aug 2025 | 16 June 2026 |
Usage
How much each one is used
| Measure | gpt-oss-120b | GLM 5.2 |
|---|---|---|
| Tokens served on OpenRouter in a day | 69B (for 10 Nov 2026) | 166.2B Leads (for 10 Nov 2026) |
| Requests on OpenRouter in a day | 18.3M Leads (for 10 Nov 2026) | 5.4M (for 10 Nov 2026) |
| Tool calls on OpenRouter in a day | 761.8K (for 10 Nov 2026) | 2.2M Leads (for 10 Nov 2026) |
| Token usage, last 7 days | Up 2% on the week before Leads (for 10 Nov 2026) | Down 1% on the week before (for 10 Nov 2026) |
- gpt-oss-120b
- GLM 5.2
How this works
One link, either order
This link stays the same whichever order you name the two models in, so you can share it as it is. A line appears only when at least one model has a value we confirmed from a source; values we have not confirmed are left out, never guessed. To add a third record of any type, use the open comparison. Read how we check facts.