GLM-4.6 vs GPT-5.1 Codex mini vs Relace Apply 3
GPT-5.1 Codex mini comes out ahead, 54 to 41 and 32 on our weighted score, and it is the cheaper option too.
Z.ai (Zhipu)GLM-4.6
41/100- ECI—
- Price$0.60 / $2.20
- Context205K
- Our pick
OpenAIGPT-5.1 Codex mini
54/100- ECI—
- Price$0.25 / $2.00
- Context400K
Relace
Relace Apply 3
32/100- ECI—
- Price$0.85 / $1.25
- Context256K
GPT-5.1 Codex mini is our pick
GPT-5.1 Codex mini is the better all-round choice, scoring 54/100 against GLM-4.6 (41) and Relace Apply 3 (32). 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 · Relace Apply 3 $0.95 · GLM-4.6 $1.00 per 1M tokens (3:1 blend)
- Longest contextGPT-5.1 Codex miniGPT-5.1 Codex mini 400,000 · Relace Apply 3 256,000 · GLM-4.6 204,800 tokens
- Widest inputsGPT-5.1 Codex miniGLM-4.6: Text · GPT-5.1 Codex mini: Text, Images · Relace Apply 3: Text
- Self-hostingGLM-4.6Publishes downloadable weights
| Measure | Weight | GLM-4.6 | GPT-5.1 Codex mini | Relace Apply 3 |
|---|---|---|---|---|
| Price | 50% | 48 | 55 | 49 |
| Inputs & features | 30% | 35 | 60 | 0 |
| Context window | 20% | 32 | 44 | 36 |
| Overall | 100% | 41/100 | 54/100 | 32/100 |
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 | Relace Apply 3Relace |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.60 | $0.25 (best) | $0.85 |
| Output | $2.20 | $2.00 | $1.25 (best) |
| Cached input | $0.11 | — | — |
| Blended (3:1) | $1.00 | $0.688 (best) | $0.95 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Z.AI API | Median of 16 providers | Median of 3 providers |
| Limits | |||
| Context window | 204,800 tokens | 400,000 tokens (best) | 256,000 tokens |
| Max output | 131,072 tokens (best) | 128,000 tokens | 128,000 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 | No |
| Tool calling | Yes | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | glm-4.6 | — | — |
| API providers | 29 (best) | 16 | 3 |
| Released | Sep 30, 2025 | Nov 13, 2025 | Sep 26, 2025 |
| Knowledge cutoff | Apr 2025 | Sep 30, 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
- Relace Apply 3$11.00
Which should you choose?
Which is better: GLM-4.6, GPT-5.1 Codex mini or Relace Apply 3?
GPT-5.1 Codex mini is the better all-round choice, scoring 54/100 against GLM-4.6 (41) and Relace Apply 3 (32). 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 Relace Apply 3?
GPT-5.1 Codex mini is cheaper at $0.25 input / $2.00 output per million tokens (median across 16 API providers). Relace Apply 3 costs $0.85 input / $1.25 output per million tokens (median across 3 API providers); GLM-4.6 costs $0.60 input / $2.20 output per million tokens (official Z.AI 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 $0.95 for Relace Apply 3 (1.4× as much) and $1.00 for GLM-4.6 (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 Relace Apply 3 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 Relace Apply 3 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Relace Apply 3 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 256,000 for Relace Apply 3 and 204,800 for GLM-4.6. Maximum output per response: GLM-4.6 up to 131,072, GPT-5.1 Codex mini up to 128,000, Relace Apply 3 up to 128,000 tokens.
Which can read images, PDFs, audio or video?
GLM-4.6 accepts text; GPT-5.1 Codex mini accepts text and images; Relace Apply 3 accepts text. GPT-5.1 Codex mini handles the widest range of inputs.
Are any of these open source?
GLM-4.6 publishes its weights and can be self-hosted; GPT-5.1 Codex mini and Relace Apply 3 is proprietary.
Which is newer?
GPT-5.1 Codex mini is the newest, released Nov 13, 2025. GLM-4.6 came out Sep 30, 2025; Relace Apply 3 came out Sep 26, 2025. Knowledge cutoff: GLM-4.6 Apr 2025, GPT-5.1 Codex mini Sep 30, 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 Nov 2, 2026.
