GLM-4.6 vs GPT-5.1 Codex mini vs Ring-1T
GPT-5.1 Codex mini comes out ahead, 59 to 42 and 33 on our weighted score, and it is the cheaper option too.
Z.ai (Zhipu)GLM-4.6
42/100- ECI—
- Price$0.60 / $2.20
- Context205K
- Our pick
OpenAIGPT-5.1 Codex mini
59/100- ECI—
- Price$0.25 / $2.00
- Context400K
inclusionAIRing-1T
33/100- ECI—
- Price$0.57 / $2.29
- Context128K
GPT-5.1 Codex mini is our pick
GPT-5.1 Codex mini is the better all-round choice, scoring 59/100 against GLM-4.6 (42) and Ring-1T (33). It leads on price, inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceGPT-5.1 Codex miniGPT-5.1 Codex mini $0.688 · GLM-4.6 $1.00 · Ring-1T $1.00 per 1M tokens (3:1 blend)
- Longest contextGPT-5.1 Codex miniGPT-5.1 Codex mini 400,000 · GLM-4.6 204,800 · Ring-1T 128,000 tokens
- Widest inputsGPT-5.1 Codex miniGLM-4.6: Text · GPT-5.1 Codex mini: Text, Images · Ring-1T: Text
- Self-hostingGLM-4.6 and Ring-1TPublishes downloadable weights
| Measure | Weight | GLM-4.6 | GPT-5.1 Codex mini | Ring-1T |
|---|---|---|---|---|
| Price | 50% | 50 | 58 | 50 |
| Inputs & features | 30% | 35 | 70 | 10 |
| Context window | 20% | 32 | 44 | 24 |
| Overall | 100% | 42/100 | 59/100 | 33/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GLM-4.6Z.ai (Zhipu) | GPT-5.1 Codex miniOpenAI | Ring-1TinclusionAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.60 | $0.25 (best) | $0.57 |
| Output | $2.20 | $2.00 (best) | $2.29 |
| Cached input | $0.11 | — | — |
| Blended (3:1) | $1.00 | $0.688 (best) | $1.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Z.AI API | Median of 10 providers | Official Bailing API |
| Limits | |||
| Context window | 204,800 tokens | 400,000 tokens (best) | 128,000 tokens |
| Max output | 131,072 tokens (best) | 128,000 tokens | 32,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | No |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Proprietary | Open |
| API model ID | glm-4.6 | — | Ring-1T |
| API providers | 18 (best) | 10 | 1 |
| Released | Sep 30, 2025 | Nov 13, 2025 | Oct 2025 |
| Knowledge cutoff | Apr 2025 | Sep 30, 2024 | Jun 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GLM-4.6$10.40
- GPT-5.1 Codex mini$6.50
- Ring-1T$10.28
Which should you choose?
Which is better: GLM-4.6, GPT-5.1 Codex mini or Ring-1T?
GPT-5.1 Codex mini is the better all-round choice, scoring 59/100 against GLM-4.6 (42) and Ring-1T (33). It leads on price, inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, GLM-4.6, GPT-5.1 Codex mini or Ring-1T?
GPT-5.1 Codex mini is cheaper at $0.25 input / $2.00 output per million tokens (median across 10 API providers). GLM-4.6 costs $0.60 input / $2.20 output per million tokens (official Z.AI API price); Ring-1T costs $0.57 input / $2.29 output per million tokens (official Bailing API price). At a typical mix of three input tokens to one output token, that is $0.688 per million tokens for GPT-5.1 Codex mini versus $1.00 for GLM-4.6 (1.5× as much) and $1.00 for Ring-1T (1.5× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GLM-4.6 has not been scored yet, GPT-5.1 Codex mini has not been scored yet and Ring-1T has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-4.6, GPT-5.1 Codex mini and Ring-1T yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Ring-1T does not support tool calling, which most coding agents need.
Which has the bigger context window?
GPT-5.1 Codex mini has the largest context window at 400,000 tokens, against 204,800 for GLM-4.6 and 128,000 for Ring-1T. Maximum output per response: GLM-4.6 up to 131,072, GPT-5.1 Codex mini up to 128,000, Ring-1T up to 32,000 tokens.
Which can read images, PDFs, audio or video?
GLM-4.6 accepts text; GPT-5.1 Codex mini accepts text and images; Ring-1T accepts text. GPT-5.1 Codex mini handles the widest range of inputs.
Are any of these open source?
GLM-4.6 and Ring-1T publishes its weights and can be self-hosted; GPT-5.1 Codex mini is proprietary.
Which is newer?
GPT-5.1 Codex mini is the newest, released Nov 13, 2025. Ring-1T came out Oct 2025; GLM-4.6 came out Sep 30, 2025. Knowledge cutoff: GLM-4.6 Apr 2025, GPT-5.1 Codex mini Sep 30, 2024, Ring-1T Jun 2024.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
