DeepSeek-R1 vs Gemini Robotics-ER 1.6 Preview vs GLM-5V-Turbo
Too close to call on our weighted score (Gemini Robotics-ER 1.6 Preview 50, GLM-5V-Turbo 49, DeepSeek-R1 39). The right pick depends on what you value most.
DeepSeekDeepSeek-R1
39/100- ECI139.0
- Price$0.70 / $2.60
- Context128K
GoogleGemini Robotics-ER 1.6 Preview
50/100- ECI—
- Price$1.00 / $5.00
- Context131K
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, DeepSeek-R1 39/100), so choose by what matters most for your work: DeepSeek-R1 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 priceDeepSeek-R1DeepSeek-R1 $1.18 · 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 · DeepSeek-R1 128,000 tokens
- Widest inputsGemini Robotics-ER 1.6 Preview and GLM-5V-TurboDeepSeek-R1: Text · Gemini Robotics-ER 1.6 Preview: Text, Images, Audio, Video · GLM-5V-Turbo: Text, Images, PDFs, Video
- Self-hostingDeepSeek-R1Publishes downloadable weights
| Measure | Weight | DeepSeek-R1 | Gemini Robotics-ER 1.6 Preview | GLM-5V-Turbo |
|---|---|---|---|---|
| Price | 50% | 47 | 36 | 37 |
| Inputs & features | 30% | 35 | 90 | 80 |
| Context window | 20% | 24 | 24 | 32 |
| Overall | 100% | 39/100 | 50/100 | 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 | DeepSeek-R1DeepSeek | Gemini Robotics-ER 1.6 PreviewGoogle | GLM-5V-TurboZ.ai (Zhipu) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 139.0 | — | — |
| ECI rank | #104 of 148 | — | — |
| GPQA DiamondGraduate-level science questions | 71.7% | — | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 53.3% | — | — |
| Price per million tokens | |||
| Input | $0.70 (best) | $1.00 | $1.20 |
| Output | $2.60 (best) | $5.00 | $4.00 |
| Cached input | — | — | $0.24 |
| Blended (3:1) | $1.18 (best) | $2.00 | $1.90 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 11 providers | Median of 1 providers | Official Z.AI API |
| Limits | |||
| Context window | 128,000 tokens | 131,072 tokens | 200,000 tokens (best) |
| Max output | 32,768 tokens | 65,536 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | No | Yes | No |
| Video | No | Yes | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | — | — | glm-5v-turbo |
| API providers | 12 | 1 | 14 (best) |
| Released | Jan 20, 2025 | Apr 14, 2026 | Apr 1, 2026 |
| Knowledge cutoff | Jul 2024 | 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.
- DeepSeek-R1$12.20
- Gemini Robotics-ER 1.6 Preview$20.00
- GLM-5V-Turbo$20.00
Which should you choose?
Which is better: DeepSeek-R1, Gemini Robotics-ER 1.6 Preview 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, DeepSeek-R1 39/100), so choose by what matters most for your work: DeepSeek-R1 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, DeepSeek-R1, Gemini Robotics-ER 1.6 Preview or GLM-5V-Turbo?
DeepSeek-R1 is cheaper at $0.70 input / $2.60 output per million tokens (median across 11 API providers). 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 $1.18 per million tokens for DeepSeek-R1 versus $1.90 for GLM-5V-Turbo (1.6× as much) and $2.00 for Gemini Robotics-ER 1.6 Preview (1.7× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. DeepSeek-R1 has an ECI of 139.0, Gemini Robotics-ER 1.6 Preview 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 DeepSeek-R1, Gemini Robotics-ER 1.6 Preview 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?
GLM-5V-Turbo has the largest context window at 200,000 tokens, against 131,072 for Gemini Robotics-ER 1.6 Preview and 128,000 for DeepSeek-R1. Maximum output per response: DeepSeek-R1 up to 32,768, Gemini Robotics-ER 1.6 Preview up to 65,536, GLM-5V-Turbo up to 131,072 tokens.
Which can read images, PDFs, audio or video?
DeepSeek-R1 accepts text; Gemini Robotics-ER 1.6 Preview accepts text, images, audio and video; 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?
DeepSeek-R1 publishes its weights and can be self-hosted; Gemini Robotics-ER 1.6 Preview and GLM-5V-Turbo is proprietary.
Which is newer?
Gemini Robotics-ER 1.6 Preview is the newest, released Apr 14, 2026. GLM-5V-Turbo came out Apr 1, 2026; DeepSeek-R1 came out Jan 20, 2025. Knowledge cutoff: DeepSeek-R1 Jul 2024, 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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