Relace Apply 3 vs Mistral Large 3 vs GLM-4.6
Mistral Large 3 comes out ahead, 52 to 41 and 32 on our weighted score, and it is the cheaper option too.
Relace
Relace Apply 3
32/100- ECI—
- Price$0.85 / $1.25
- Context256K
- Our pick
Mistral AIMistral Large 3
52/100- ECI—
- Price$0.50 / $1.50
- Context262K
Z.ai (Zhipu)GLM-4.6
41/100- ECI—
- Price$0.60 / $2.20
- Context205K
Mistral Large 3 is our pick
Mistral Large 3 is the better all-round choice, scoring 52/100 against GLM-4.6 (41) and Relace Apply 3 (32). It leads on price and inputs & features. 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 priceMistral Large 3Mistral Large 3 $0.75 · Relace Apply 3 $0.95 · GLM-4.6 $1.00 per 1M tokens (3:1 blend)
- Longest contextMistral Large 3Mistral Large 3 262,144 · Relace Apply 3 256,000 · GLM-4.6 204,800 tokens
- Widest inputsMistral Large 3Relace Apply 3: Text · Mistral Large 3: Text, Images · GLM-4.6: Text
- Self-hostingMistral Large 3 and GLM-4.6Publishes downloadable weights
| Measure | Weight | Relace Apply 3 | Mistral Large 3 | GLM-4.6 |
|---|---|---|---|---|
| Price | 50% | 49 | 53 | 48 |
| Inputs & features | 30% | 0 | 60 | 35 |
| Context window | 20% | 36 | 37 | 32 |
| Overall | 100% | 32/100 | 52/100 | 41/100 |
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 | Relace Apply 3Relace | Mistral Large 3Mistral AI | GLM-4.6Z.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.85 | $0.50 (best) | $0.60 |
| Output | $1.25 (best) | $1.50 | $2.20 |
| Cached input | — | $0.05 (best) | $0.11 |
| Blended (3:1) | $0.95 | $0.75 (best) | $1.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 3 providers | Official Mistral API | Official Z.AI API |
| Limits | |||
| Context window | 256,000 tokens | 262,144 tokens (best) | 204,800 tokens |
| Max output | 128,000 tokens | 262,144 tokens (best) | 131,072 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 | No | No | Yes |
| Tool calling | No | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | — | mistral-large-2512 | glm-4.6 |
| API providers | 3 | 17 | 29 (best) |
| Released | Sep 26, 2025 | Dec 2, 2025 | Sep 30, 2025 |
| Knowledge cutoff | — | Nov 2024 | Apr 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Relace Apply 3$11.00
- Mistral Large 3$8.00
- GLM-4.6$10.40
Which should you choose?
Which is better: Relace Apply 3, Mistral Large 3 or GLM-4.6?
Mistral Large 3 is the better all-round choice, scoring 52/100 against GLM-4.6 (41) and Relace Apply 3 (32). It leads on price and inputs & features. 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, Relace Apply 3, Mistral Large 3 or GLM-4.6?
Mistral Large 3 is cheaper at $0.50 input / $1.50 output per million tokens (official Mistral API price). 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 $0.75 per million tokens for Mistral Large 3 versus $0.95 for Relace Apply 3 (1.3× as much) and $1.00 for GLM-4.6 (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Relace Apply 3 has not been scored yet, Mistral Large 3 has not been scored yet and GLM-4.6 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Relace Apply 3, Mistral Large 3 and GLM-4.6 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?
Mistral Large 3 has the largest context window at 262,144 tokens, against 256,000 for Relace Apply 3 and 204,800 for GLM-4.6. Maximum output per response: Relace Apply 3 up to 128,000, Mistral Large 3 up to 262,144, GLM-4.6 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Relace Apply 3 accepts text; Mistral Large 3 accepts text and images; GLM-4.6 accepts text. Mistral Large 3 handles the widest range of inputs.
Are any of these open source?
Mistral Large 3 and GLM-4.6 publishes its weights and can be self-hosted; Relace Apply 3 is proprietary.
Which is newer?
Mistral Large 3 is the newest, released Dec 2, 2025. GLM-4.6 came out Sep 30, 2025; Relace Apply 3 came out Sep 26, 2025. Knowledge cutoff: Mistral Large 3 Nov 2024, GLM-4.6 Apr 2025.
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.
