GLM-5V-Turbo vs GLM-5.1 vs Gemini Robotics-ER 1.6 Preview
Too close to call on our weighted score (Gemini Robotics-ER 1.6 Preview 50, GLM-5V-Turbo 49, GLM-5.1 37). The right pick depends on what you value most.
Z.ai (Zhipu)GLM-5V-Turbo
49/100- ECI—
- Price$1.20 / $4.00
- Context200K
- Z.ai (Zhipu)
GLM-5.1
37/100- ECI149.9
- Price$1.40 / $4.40
- Context200K
GoogleGemini Robotics-ER 1.6 Preview
50/100- ECI—
- Price$1.00 / $5.00
- Context131K
Too close to call
It is close. Our weighted score puts them within 1 points (Gemini Robotics-ER 1.6 Preview 50/100, GLM-5V-Turbo 49/100, GLM-5.1 37/100), so choose by what matters most for your work: GLM-5V-Turbo 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-5V-TurboGLM-5V-Turbo $1.90 · Gemini Robotics-ER 1.6 Preview $2.00 · GLM-5.1 $2.15 per 1M tokens (3:1 blend)
- Longest contextGLM-5V-Turbo and GLM-5.1GLM-5V-Turbo 200,000 · GLM-5.1 200,000 · Gemini Robotics-ER 1.6 Preview 131,072 tokens
- Widest inputsGLM-5V-Turbo and Gemini Robotics-ER 1.6 PreviewGLM-5V-Turbo: Text, Images, PDFs, Video · GLM-5.1: Text · Gemini Robotics-ER 1.6 Preview: Text, Images, Audio, Video
- Self-hostingGLM-5.1Publishes downloadable weights
| Measure | Weight | GLM-5V-Turbo | GLM-5.1 | Gemini Robotics-ER 1.6 Preview |
|---|---|---|---|---|
| Price | 50% | 37 | 34 | 36 |
| Inputs & features | 30% | 80 | 45 | 90 |
| Context window | 20% | 32 | 32 | 24 |
| Overall | 100% | 49/100 | 37/100 | 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-5V-TurboZ.ai (Zhipu) | GLM-5.1Z.ai (Zhipu) | Gemini Robotics-ER 1.6 PreviewGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 149.9 | — |
| ECI rank | — | #51 of 148 | — |
| GPQA DiamondGraduate-level science questions | — | 89.9% | — |
| FrontierMath Tiers 1–3Research-level mathematics | — | 36.8% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 93.3% | — |
| SWE-bench VerifiedFixing real GitHub issues | — | 74.2% | — |
| SimpleQA VerifiedShort factual questions | — | 34.0% | — |
| Price per million tokens | |||
| Input | $1.20 | $1.40 | $1.00 (best) |
| Output | $4.00 (best) | $4.40 | $5.00 |
| Cached input | $0.24 (best) | $0.26 | — |
| Blended (3:1) | $1.90 (best) | $2.15 | $2.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Z.AI API | Official Z.AI API | Median of 1 providers |
| Limits | |||
| Context window | 200,000 tokens (best) | 200,000 tokens (best) | 131,072 tokens |
| Max output | 131,072 tokens (best) | 131,072 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | Yes | No | No |
| Audio | No | No | Yes |
| Video | Yes | No | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | glm-5v-turbo | glm-5.1 | — |
| API providers | 14 | 40 (best) | 1 |
| Released | Apr 1, 2026 | Apr 7, 2026 | 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-5V-Turbo$20.00
- GLM-5.1$22.80
- Gemini Robotics-ER 1.6 Preview$20.00
Which should you choose?
Which is better: GLM-5V-Turbo, GLM-5.1 or Gemini Robotics-ER 1.6 Preview?
It is close. Our weighted score puts them within 1 points (Gemini Robotics-ER 1.6 Preview 50/100, GLM-5V-Turbo 49/100, GLM-5.1 37/100), so choose by what matters most for your work: GLM-5V-Turbo 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, GLM-5V-Turbo, GLM-5.1 or Gemini Robotics-ER 1.6 Preview?
GLM-5V-Turbo is cheaper at $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); GLM-5.1 costs $1.40 input / $4.40 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $1.90 per million tokens for GLM-5V-Turbo versus $2.00 for Gemini Robotics-ER 1.6 Preview (1.1× as much) and $2.15 for GLM-5.1 (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GLM-5V-Turbo has not been scored yet, GLM-5.1 has an ECI of 149.9 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-5V-Turbo 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?
GLM-5V-Turbo and GLM-5.1 have the largest context windows (200,000 and 200,000 tokens), against 131,072 for Gemini Robotics-ER 1.6 Preview. Maximum output per response: GLM-5V-Turbo up to 131,072, GLM-5.1 up to 131,072, Gemini Robotics-ER 1.6 Preview up to 65,536 tokens.
Which can read images, PDFs, audio or video?
GLM-5V-Turbo accepts text, images, PDFs and video; GLM-5.1 accepts text; Gemini Robotics-ER 1.6 Preview accepts text, images, audio and video. GLM-5V-Turbo handles the widest range of inputs.
Are any of these open source?
GLM-5.1 publishes its weights and can be self-hosted; GLM-5V-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-5.1 came out Apr 7, 2026; GLM-5V-Turbo came out Apr 1, 2026. 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.
