Gemini Robotics-ER 1.6 Preview vs Mercury Edit 2 vs GLM-5V-Turbo
Too close to call on our weighted score (Gemini Robotics-ER 1.6 Preview 50, GLM-5V-Turbo 49, Mercury Edit 2 35). The right pick depends on what you value most.
GoogleGemini Robotics-ER 1.6 Preview
50/100- ECI—
- Price$1.00 / $5.00
- Context131K
InceptionMercury Edit 2
35/100- ECI—
- Price$0.25 / $0.75
- Context32K
Z.ai (Zhipu)GLM-5V-Turbo
49/100- ECI—
- Price$1.20 / $4.00
- Context200K
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, Mercury Edit 2 35/100), so choose by what matters most for your work: Mercury Edit 2 on price and GLM-5V-Turbo for long inputs. 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 priceMercury Edit 2Mercury Edit 2 $0.375 · GLM-5V-Turbo $1.90 · Gemini Robotics-ER 1.6 Preview $2.00 per 1M tokens (3:1 blend)
- Longest contextGLM-5V-TurboGLM-5V-Turbo 200,000 · Gemini Robotics-ER 1.6 Preview 131,072 · Mercury Edit 2 32,000 tokens
- Widest inputsGemini Robotics-ER 1.6 Preview and GLM-5V-TurboGemini Robotics-ER 1.6 Preview: Text, Images, Audio, Video · Mercury Edit 2: Text · 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 | Mercury Edit 2 | GLM-5V-Turbo |
|---|---|---|---|---|
| Price | 50% | 36 | 70 | 37 |
| Inputs & features | 30% | 90 | 0 | 80 |
| Context window | 20% | 24 | 0 | 32 |
| Overall | 100% | 50/100 | 35/100 | 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 | Mercury Edit 2Inception | GLM-5V-TurboZ.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.00 | $0.25 (best) | $1.20 |
| Output | $5.00 | $0.75 (best) | $4.00 |
| Cached input | — | $0.025 (best) | $0.24 |
| Blended (3:1) | $2.00 | $0.375 (best) | $1.90 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 1 providers | Official Inception API | Official Z.AI API |
| Limits | |||
| Context window | 131,072 tokens | 32,000 tokens | 200,000 tokens (best) |
| Max output | 65,536 tokens | 8,192 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | Yes |
| Audio | Yes | No | No |
| Video | Yes | No | Yes |
| Reasoning | Yes | No | Yes |
| Tool calling | Yes | No | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | — | mercury-edit-2 | glm-5v-turbo |
| API providers | 1 | 1 | 14 (best) |
| Released | Apr 14, 2026 | Mar 30, 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
- Mercury Edit 2$4.00
- GLM-5V-Turbo$20.00
Which should you choose?
Which is better: Gemini Robotics-ER 1.6 Preview, Mercury Edit 2 or GLM-5V-Turbo?
It is close. Our weighted score puts them within 1 points (Gemini Robotics-ER 1.6 Preview 50/100, GLM-5V-Turbo 49/100, Mercury Edit 2 35/100), so choose by what matters most for your work: Mercury Edit 2 on price and GLM-5V-Turbo for long inputs. 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, Mercury Edit 2 or GLM-5V-Turbo?
Mercury Edit 2 is cheaper at $0.25 input / $0.75 output per million tokens (official Inception 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 $0.375 per million tokens for Mercury Edit 2 versus $1.90 for GLM-5V-Turbo (5.1× as much) and $2.00 for Gemini Robotics-ER 1.6 Preview (5.3× 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, Mercury Edit 2 has not been scored yet 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, Mercury Edit 2 and GLM-5V-Turbo yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Mercury Edit 2 does not support tool calling, which most coding agents need.
Which has the bigger context window?
GLM-5V-Turbo has the largest context window at 200,000 tokens, against 131,072 for Gemini Robotics-ER 1.6 Preview and 32,000 for Mercury Edit 2. Maximum output per response: Gemini Robotics-ER 1.6 Preview up to 65,536, Mercury Edit 2 up to 8,192, 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; Mercury Edit 2 accepts text; 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, Mercury Edit 2 and GLM-5V-Turbo are proprietary and only available through APIs and apps.
Which is newer?
Gemini Robotics-ER 1.6 Preview is the newest, released Apr 14, 2026. GLM-5V-Turbo came out Apr 1, 2026; Mercury Edit 2 came out Mar 30, 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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