Gemini Robotics-ER 1.6 Preview vs Grok 4.3 vs GLM-5V-Turbo
Grok 4.3 comes out ahead, 56 to 50 and 49 on our weighted score, and it is the cheaper option too.
GoogleGemini Robotics-ER 1.6 Preview
50/100- ECI—
- Price$1.00 / $5.00
- Context131K
- Our pick
xAIGrok 4.3
56/100- ECI149.2
- Price$1.25 / $2.50
- Context1M
Z.ai (Zhipu)GLM-5V-Turbo
49/100- ECI—
- Price$1.20 / $4.00
- Context200K
Grok 4.3 is our pick
Grok 4.3 is the better all-round choice, scoring 56/100 against Gemini Robotics-ER 1.6 Preview (50) and GLM-5V-Turbo (49). 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 priceGrok 4.3Grok 4.3 $1.56 · GLM-5V-Turbo $1.90 · Gemini Robotics-ER 1.6 Preview $2.00 per 1M tokens (3:1 blend)
- Longest contextGrok 4.3Grok 4.3 1,000,000 · GLM-5V-Turbo 200,000 · Gemini Robotics-ER 1.6 Preview 131,072 tokens
- Widest inputsGemini Robotics-ER 1.6 Preview and GLM-5V-TurboGemini Robotics-ER 1.6 Preview: Text, Images, Audio, Video · Grok 4.3: Text, Images, PDFs · GLM-5V-Turbo: Text, Images, PDFs, Video
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Gemini Robotics-ER 1.6 Preview | Grok 4.3 | GLM-5V-Turbo |
|---|---|---|---|---|
| Price | 50% | 36 | 41 | 37 |
| Inputs & features | 30% | 90 | 80 | 80 |
| Context window | 20% | 24 | 60 | 32 |
| Overall | 100% | 50/100 | 56/100 | 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 | Gemini Robotics-ER 1.6 PreviewGoogle | Grok 4.3xAI | GLM-5V-TurboZ.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 149.2 | — |
| ECI rank | — | #55 of 148 | — |
| GPQA DiamondGraduate-level science questions | — | 88.8% | — |
| FrontierMath Tiers 1–3Research-level mathematics | — | 42.8% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 93.3% | — |
| SimpleQA VerifiedShort factual questions | — | 33.2% | — |
| Price per million tokens | |||
| Input | $1.00 (best) | $1.25 | $1.20 |
| Output | $5.00 | $2.50 (best) | $4.00 |
| Cached input | — | $0.20 (best) | $0.24 |
| Blended (3:1) | $2.00 | $1.56 (best) | $1.90 |
| Long-context rate | Same rate | Over 200K: $2.50 / $5.00 | Same rate |
| Price source | Median of 1 providers | Official xAI API | Official Z.AI API |
| Limits | |||
| Context window | 131,072 tokens | 1,000,000 tokens (best) | 200,000 tokens |
| Max output | 65,536 tokens | 30,000 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | Yes | Yes |
| Audio | Yes | No | No |
| Video | Yes | No | Yes |
| Reasoning | Yes | Yeslow · medium · high | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | — | grok-4.3 | glm-5v-turbo |
| API providers | 1 | 27 (best) | 14 |
| Released | Apr 14, 2026 | Apr 17, 2026 | Apr 1, 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.
- Gemini Robotics-ER 1.6 Preview$20.00
- Grok 4.3$17.50
- GLM-5V-Turbo$20.00
Which should you choose?
Which is better: Gemini Robotics-ER 1.6 Preview, Grok 4.3 or GLM-5V-Turbo?
Grok 4.3 is the better all-round choice, scoring 56/100 against Gemini Robotics-ER 1.6 Preview (50) and GLM-5V-Turbo (49). 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, Gemini Robotics-ER 1.6 Preview, Grok 4.3 or GLM-5V-Turbo?
Grok 4.3 is cheaper at $1.25 input / $2.50 output per million tokens (official xAI API price). GLM-5V-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 $1.56 per million tokens for Grok 4.3 versus $1.90 for GLM-5V-Turbo (1.2× as much) and $2.00 for Gemini Robotics-ER 1.6 Preview (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Gemini Robotics-ER 1.6 Preview has not been scored yet, Grok 4.3 has an ECI of 149.2 and GLM-5V-Turbo has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini Robotics-ER 1.6 Preview, Grok 4.3 and GLM-5V-Turbo 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 4.3 has the largest context window at 1,000,000 tokens, against 200,000 for GLM-5V-Turbo and 131,072 for Gemini Robotics-ER 1.6 Preview. Maximum output per response: Gemini Robotics-ER 1.6 Preview up to 65,536, Grok 4.3 up to 30,000, GLM-5V-Turbo up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Gemini Robotics-ER 1.6 Preview accepts text, images, audio and video; Grok 4.3 accepts text, images and PDFs; GLM-5V-Turbo accepts text, images, PDFs and video. Gemini Robotics-ER 1.6 Preview handles the widest range of inputs.
Are any of these open source?
No. Gemini Robotics-ER 1.6 Preview, Grok 4.3 and GLM-5V-Turbo are proprietary and only available through APIs and apps.
Which is newer?
Grok 4.3 is the newest, released Apr 17, 2026. Gemini Robotics-ER 1.6 Preview came out Apr 14, 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.
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