Ministral 3 14B vs GLM-4.5-Flash vs Grok 4.1 Fast
Grok 4.1 Fast comes out ahead, 71 to 65 and 63 on our weighted score.
Mistral AI
Ministral 3 14B
63/100- ECI—
- Price$0.268 / $0.325
- Context262K
Z.ai (Zhipu)
GLM-4.5-Flash
65/100- ECI—
- PriceFree / Free
- Context131K
- Our pick
xAI
Grok 4.1 Fast
71/100- ECI—
- Price$0.20 / $0.50
- Context2M
Grok 4.1 Fast is our pick
Grok 4.1 Fast is the better all-round choice, scoring 71/100 against GLM-4.5-Flash (65) and Ministral 3 14B (63). It leads on context window. GLM-4.5-Flash wins on price. 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 priceGLM-4.5-FlashGLM-4.5-Flash Free · Grok 4.1 Fast $0.275 · Ministral 3 14B $0.282 per 1M tokens (3:1 blend)
- Longest contextGrok 4.1 FastGrok 4.1 Fast 2,000,000 · Ministral 3 14B 262,144 · GLM-4.5-Flash 131,072 tokens
- Widest inputsMinistral 3 14B and Grok 4.1 FastMinistral 3 14B: Text, Images · GLM-4.5-Flash: Text · Grok 4.1 Fast: Text, Images
- Self-hostingMinistral 3 14BPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Ministral 3 14B | GLM-4.5-Flash | Grok 4.1 Fast |
|---|---|---|---|---|
| Price | 50% | 76 | 100 | 76 |
| Inputs & features | 30% | 60 | 35 | 60 |
| Context window | 20% | 37 | 24 | 72 |
| Overall | 100% | 63/100 | 65/100 | 71/100 |
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 | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.268 | Free (best) | $0.20 |
| Output | $0.325 | Free (best) | $0.50 |
| Cached input | — | — | — |
| Blended (3:1) | $0.282 | Free (best) | $0.275 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official Z.AI API | Median of 2 providers |
| Limits | |||
| Context window | 262,144 tokens | 131,072 tokens | 2,000,000 tokens (best) |
| Max output | 262,144 tokens (best) | 98,304 tokens | 30,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | OpenApache 2.0 | Proprietary | Proprietary |
| API model ID | — | glm-4.5-flash | — |
| API providers | 2 | 4 (best) | 2 |
| Released | Dec 2, 2025 | Jul 28, 2025 | Nov 19, 2025 |
| Knowledge cutoff | — | 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.
Ministral 3 14B$3.33
GLM-4.5-FlashFree
Grok 4.1 Fast$3.00
Which should you choose?
Which is better: Ministral 3 14B, GLM-4.5-Flash or Grok 4.1 Fast?
Grok 4.1 Fast is the better all-round choice, scoring 71/100 against GLM-4.5-Flash (65) and Ministral 3 14B (63). It leads on context window. GLM-4.5-Flash wins on price. 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, GLM-4.5-Flash or Grok 4.1 Fast?
GLM-4.5-Flash is cheaper at Free input / Free output per million tokens (official Z.AI API price). Grok 4.1 Fast costs $0.20 input / $0.50 output per million tokens (median across 2 API providers); Ministral 3 14B costs $0.268 input / $0.325 output per million tokens (median across 2 API providers). GLM-4.5-Flash is listed as free.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Ministral 3 14B has not been scored yet, GLM-4.5-Flash has not been scored yet and Grok 4.1 Fast has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Ministral 3 14B, GLM-4.5-Flash and Grok 4.1 Fast yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Grok 4.1 Fast has the largest context window at 2,000,000 tokens, against 262,144 for Ministral 3 14B and 131,072 for GLM-4.5-Flash. Maximum output per response: Ministral 3 14B up to 262,144, GLM-4.5-Flash up to 98,304, Grok 4.1 Fast up to 30,000 tokens.
Which can read images, PDFs, audio or video?
Ministral 3 14B accepts text and images; GLM-4.5-Flash accepts text; Grok 4.1 Fast accepts text and images. Ministral 3 14B 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-4.5-Flash and Grok 4.1 Fast is proprietary.
Which is newer?
Ministral 3 14B is the newest, released Dec 2, 2025. Grok 4.1 Fast came out Nov 19, 2025; GLM-4.5-Flash came out Jul 28, 2025. Knowledge cutoff: GLM-4.5-Flash 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 Oct 4, 2026.