GLM-5-Turbo vs Ministral 3 14B vs Gemini Robotics-ER 1.6 Preview
Ministral 3 14B comes out ahead, 63 to 50 and 38 on our weighted score, and it is the cheaper option too.
Z.ai (Zhipu)GLM-5-Turbo
38/100- ECI—
- Price$1.20 / $4.00
- Context200K
- Our pick
Mistral AIMinistral 3 14B
63/100- ECI—
- Price$0.268 / $0.325
- Context262K
GoogleGemini Robotics-ER 1.6 Preview
50/100- ECI—
- Price$1.00 / $5.00
- Context131K
Ministral 3 14B is our pick
Ministral 3 14B is the better all-round choice, scoring 63/100 against Gemini Robotics-ER 1.6 Preview (50) and GLM-5-Turbo (38). It leads on price and context window. Gemini Robotics-ER 1.6 Preview 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-5-Turbo $1.90 · Gemini Robotics-ER 1.6 Preview $2.00 per 1M tokens (3:1 blend)
- Longest contextMinistral 3 14BMinistral 3 14B 262,144 · GLM-5-Turbo 200,000 · Gemini Robotics-ER 1.6 Preview 131,072 tokens
- Widest inputsGemini Robotics-ER 1.6 PreviewGLM-5-Turbo: Text · Ministral 3 14B: Text, Images · Gemini Robotics-ER 1.6 Preview: Text, Images, Audio, Video
- Self-hostingMinistral 3 14BPublishes downloadable weights (Apache 2.0)
| Measure | Weight | GLM-5-Turbo | Ministral 3 14B | Gemini Robotics-ER 1.6 Preview |
|---|---|---|---|---|
| Price | 50% | 37 | 76 | 36 |
| Inputs & features | 30% | 45 | 60 | 90 |
| Context window | 20% | 32 | 37 | 24 |
| Overall | 100% | 38/100 | 63/100 | 50/100 |
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-5-TurboZ.ai (Zhipu) | Ministral 3 14BMistral AI | Gemini Robotics-ER 1.6 PreviewGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.20 | $0.268 (best) | $1.00 |
| Output | $4.00 | $0.325 (best) | $5.00 |
| Cached input | $0.24 | — | — |
| Blended (3:1) | $1.90 | $0.282 (best) | $2.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Z.AI API | Median of 2 providers | Median of 1 providers |
| Limits | |||
| Context window | 200,000 tokens | 262,144 tokens (best) | 131,072 tokens |
| Max output | 131,072 tokens | 262,144 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | Yes |
| Video | No | No | Yes |
| Reasoning | Yes | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | OpenApache 2.0 | Proprietary |
| API model ID | glm-5-turbo | — | — |
| API providers | 17 (best) | 2 | 1 |
| Released | Mar 16, 2026 | Dec 2, 2025 | Apr 14, 2026 |
| Knowledge cutoff | — | — | Jan 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GLM-5-Turbo$20.00
- Ministral 3 14B$3.33
- Gemini Robotics-ER 1.6 Preview$20.00
Which should you choose?
Which is better: GLM-5-Turbo, Ministral 3 14B or Gemini Robotics-ER 1.6 Preview?
Ministral 3 14B is the better all-round choice, scoring 63/100 against Gemini Robotics-ER 1.6 Preview (50) and GLM-5-Turbo (38). It leads on price and context window. Gemini Robotics-ER 1.6 Preview 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, GLM-5-Turbo, Ministral 3 14B or Gemini Robotics-ER 1.6 Preview?
Ministral 3 14B is cheaper at $0.268 input / $0.325 output per million tokens (median across 2 API providers). GLM-5-Turbo costs $1.20 input / $4.00 output per million tokens (official Z.AI API price); Gemini Robotics-ER 1.6 Preview costs $1.00 input / $5.00 output per million tokens (median across 1 API provider). 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-5-Turbo (6.7× as much) and $2.00 for Gemini Robotics-ER 1.6 Preview (7.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GLM-5-Turbo has not been scored yet, Ministral 3 14B has not been scored yet and Gemini Robotics-ER 1.6 Preview has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-5-Turbo, Ministral 3 14B and Gemini Robotics-ER 1.6 Preview 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?
Ministral 3 14B has the largest context window at 262,144 tokens, against 200,000 for GLM-5-Turbo and 131,072 for Gemini Robotics-ER 1.6 Preview. Maximum output per response: GLM-5-Turbo up to 131,072, Ministral 3 14B up to 262,144, Gemini Robotics-ER 1.6 Preview up to 65,536 tokens.
Which can read images, PDFs, audio or video?
GLM-5-Turbo accepts text; Ministral 3 14B accepts text and images; Gemini Robotics-ER 1.6 Preview accepts text, images, audio and video. Gemini Robotics-ER 1.6 Preview 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-5-Turbo and Gemini Robotics-ER 1.6 Preview is proprietary.
Which is newer?
Gemini Robotics-ER 1.6 Preview is the newest, released Apr 14, 2026. GLM-5-Turbo came out Mar 16, 2026; Ministral 3 14B came out Dec 2, 2025. Knowledge cutoff: Gemini Robotics-ER 1.6 Preview Jan 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.
