Ministral 3 14B vs GLM-5V-Turbo
Ministral 3 14B comes out ahead, 63 to 49 on our weighted score, and it is the cheaper option too.
- Our pick
Mistral AIMinistral 3 14B
63/100- ECI—
- Price$0.268 / $0.325
- Context262K
Z.ai (Zhipu)GLM-5V-Turbo
49/100- ECI—
- Price$1.20 / $4.00
- Context200K
Add a model
Make it a three-way comparison.
Ministral 3 14B is our pick
Ministral 3 14B is the better all-round choice, scoring 63/100 against GLM-5V-Turbo (49). It leads on price and context window. GLM-5V-Turbo wins on 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 priceMinistral 3 14BMinistral 3 14B $0.282 · GLM-5V-Turbo $1.90 per 1M tokens (3:1 blend)
- Longest contextMinistral 3 14BMinistral 3 14B 262,144 · GLM-5V-Turbo 200,000 tokens
- Widest inputsGLM-5V-TurboMinistral 3 14B: Text, Images · GLM-5V-Turbo: Text, Images, PDFs, Video
- Self-hostingMinistral 3 14BPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Ministral 3 14B | GLM-5V-Turbo |
|---|---|---|---|
| Price | 50% | 76 | 37 |
| Inputs & features | 30% | 60 | 80 |
| Context window | 20% | 37 | 32 |
| Overall | 100% | 63/100 | 49/100 |
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 | Ministral 3 14BMistral AI | GLM-5V-TurboZ.ai (Zhipu) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.268 (best) | $1.20 |
| Output | $0.325 (best) | $4.00 |
| Cached input | — | $0.24 |
| Blended (3:1) | $0.282 (best) | $1.90 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official Z.AI API |
| Limits | ||
| Context window | 262,144 tokens (best) | 200,000 tokens |
| Max output | 262,144 tokens (best) | 131,072 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | Yes |
| Audio | No | No |
| Video | No | Yes |
| Reasoning | No | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | OpenApache 2.0 | Proprietary |
| API model ID | — | glm-5v-turbo |
| API providers | 2 | 14 (best) |
| Released | Dec 2, 2025 | Apr 1, 2026 |
| Knowledge cutoff | — | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Ministral 3 14B$3.33
- GLM-5V-Turbo$20.00
Which should you choose?
Which is better: Ministral 3 14B or GLM-5V-Turbo?
Ministral 3 14B is the better all-round choice, scoring 63/100 against GLM-5V-Turbo (49). It leads on price and context window. GLM-5V-Turbo wins on 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, Ministral 3 14B or GLM-5V-Turbo?
Ministral 3 14B is cheaper at $0.268 input / $0.325 output per million tokens (median across 2 API providers). GLM-5V-Turbo costs $1.20 input / $4.00 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.282 per million tokens for Ministral 3 14B versus $1.90 for GLM-5V-Turbo (6.7× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Ministral 3 14B has not been scored yet and GLM-5V-Turbo has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Ministral 3 14B and GLM-5V-Turbo yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Ministral 3 14B has the largest context window at 262,144 tokens, against 200,000 for GLM-5V-Turbo. Maximum output per response: Ministral 3 14B up to 262,144, GLM-5V-Turbo up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Ministral 3 14B accepts text and images; GLM-5V-Turbo accepts text, images, PDFs and video. GLM-5V-Turbo handles the widest range of inputs.
Are any of these open source?
Ministral 3 14B publishes its weights (Apache 2.0) and can be self-hosted; GLM-5V-Turbo is proprietary.
Which is newer?
GLM-5V-Turbo is the newest, released Apr 1, 2026. Ministral 3 14B came out Dec 2, 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 Oct 4, 2026.
