Ministral 3 14B vs GLM-4.6V-Flash vs Grok 4.1 Fast
Grok 4.1 Fast comes out ahead, 71 to 65 and 63 on our weighted score, though GLM-4.6V-Flash is 5% cheaper per token.
Mistral AIMinistral 3 14B
63/100- ECI—
- Price$0.268 / $0.325
- Context262K
Z.ai (Zhipu)GLM-4.6V-Flash
65/100- ECI—
- Price$0.161 / $0.559
- Context128K
- Our pick
xAIGrok 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-4.6V-Flash (65) and Ministral 3 14B (63). It leads on context window. GLM-4.6V-Flash 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 priceGLM-4.6V-FlashGLM-4.6V-Flash $0.261 · 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-4.6V-Flash 128,000 tokens
- Widest inputsGLM-4.6V-FlashMinistral 3 14B: Text, Images · GLM-4.6V-Flash: Text, Images, Video · Grok 4.1 Fast: Text, Images
- Self-hostingMinistral 3 14B and GLM-4.6V-FlashPublishes downloadable weights (Apache 2.0)
| Measure | Weight | Ministral 3 14B | GLM-4.6V-Flash | Grok 4.1 Fast |
|---|---|---|---|---|
| Price | 50% | 76 | 78 | 76 |
| Inputs & features | 30% | 60 | 70 | 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 | Ministral 3 14BMistral AI | GLM-4.6V-FlashZ.ai (Zhipu) | Grok 4.1 FastxAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.268 | $0.161 (best) | $0.20 |
| Output | $0.325 (best) | $0.559 | $0.50 |
| Cached input | — | — | — |
| Blended (3:1) | $0.282 | $0.261 (best) | $0.275 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Median of 2 providers | Median of 2 providers |
| Limits | |||
| Context window | 262,144 tokens | 128,000 tokens | 2,000,000 tokens (best) |
| Max output | 262,144 tokens (best) | 32,768 tokens | 30,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | Yes | No |
| Reasoning | No | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | Yes |
| Availability | |||
| Weights | OpenApache 2.0 | Open | Proprietary |
| API model ID | — | glm-4.6v-flash | — |
| API providers | 2 | 6 (best) | 2 |
| Released | Dec 2, 2025 | Dec 8, 2025 | Nov 19, 2025 |
| 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-4.6V-Flash$2.73
- Grok 4.1 Fast$3.00
Which should you choose?
Which is better: Ministral 3 14B, GLM-4.6V-Flash or Grok 4.1 Fast?
Grok 4.1 Fast is the better all-round choice, scoring 71/100 against GLM-4.6V-Flash (65) and Ministral 3 14B (63). It leads on context window. GLM-4.6V-Flash 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, GLM-4.6V-Flash or Grok 4.1 Fast?
GLM-4.6V-Flash is cheaper at $0.161 input / $0.559 output per million tokens (median across 2 API providers; free on Z.AI). 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). At a typical mix of three input tokens to one output token, that is $0.261 per million tokens for GLM-4.6V-Flash versus $0.275 for Grok 4.1 Fast (1.1× as much) and $0.282 for Ministral 3 14B (1.1× as much).
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-4.6V-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-4.6V-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 128,000 for GLM-4.6V-Flash. Maximum output per response: Ministral 3 14B up to 262,144, GLM-4.6V-Flash up to 32,768, 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-4.6V-Flash accepts text, images and video; Grok 4.1 Fast accepts text and images. GLM-4.6V-Flash handles the widest range of inputs.
Are any of these open source?
Ministral 3 14B and GLM-4.6V-Flash publishes its weights (Apache 2.0) and can be self-hosted; Grok 4.1 Fast is proprietary.
Which is newer?
GLM-4.6V-Flash is the newest, released Dec 8, 2025. Ministral 3 14B came out Dec 2, 2025; Grok 4.1 Fast came out Nov 19, 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.
