GLM-5-Turbo vs DeepSeek V4 Pro vs Gemini Robotics-ER 1.6 Preview
Gemini Robotics-ER 1.6 Preview comes out ahead, 50 to 45 and 38 on our weighted score, though DeepSeek V4 Pro is 13% cheaper per token.
Z.ai (Zhipu)GLM-5-Turbo
38/100- ECI—
- Price$1.20 / $4.00
- Context200K
DeepSeekDeepSeek V4 Pro
45/100- ECI—
- Price$1.32 / $3.00
- Context1M
- Our pick
GoogleGemini Robotics-ER 1.6 Preview
50/100- ECI—
- Price$1.00 / $5.00
- Context131K
Gemini Robotics-ER 1.6 Preview is our pick
Gemini Robotics-ER 1.6 Preview is the better all-round choice, scoring 50/100 against DeepSeek V4 Pro (45) and GLM-5-Turbo (38). It leads on inputs & features. DeepSeek V4 Pro wins on price and context window. 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 V4 ProDeepSeek V4 Pro $1.74 · GLM-5-Turbo $1.90 · Gemini Robotics-ER 1.6 Preview $2.00 per 1M tokens (3:1 blend)
- Longest contextDeepSeek V4 ProDeepSeek V4 Pro 1,000,000 · GLM-5-Turbo 200,000 · Gemini Robotics-ER 1.6 Preview 131,072 tokens
- Widest inputsGemini Robotics-ER 1.6 PreviewGLM-5-Turbo: Text · DeepSeek V4 Pro: Text · Gemini Robotics-ER 1.6 Preview: Text, Images, Audio, Video
- Self-hostingDeepSeek V4 ProPublishes downloadable weights
| Measure | Weight | GLM-5-Turbo | DeepSeek V4 Pro | Gemini Robotics-ER 1.6 Preview |
|---|---|---|---|---|
| Price | 50% | 37 | 38 | 36 |
| Inputs & features | 30% | 45 | 45 | 90 |
| Context window | 20% | 32 | 60 | 24 |
| Overall | 100% | 38/100 | 45/100 | 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) | DeepSeek V4 ProDeepSeek | Gemini Robotics-ER 1.6 PreviewGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.20 | $1.32 | $1.00 (best) |
| Output | $4.00 | $3.00 (best) | $5.00 |
| Cached input | $0.24 | — | — |
| Blended (3:1) | $1.90 | $1.74 (best) | $2.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Z.AI API | Median of 49 providers | Median of 1 providers |
| Limits | |||
| Context window | 200,000 tokens | 1,000,000 tokens (best) | 131,072 tokens |
| Max output | 131,072 tokens | 384,000 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | Yes |
| Video | No | No | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | glm-5-turbo | — | — |
| API providers | 17 | 52 (best) | 1 |
| Released | Mar 16, 2026 | Apr 24, 2026 | Apr 14, 2026 |
| Knowledge cutoff | — | May 2025 | 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
- DeepSeek V4 Pro$19.20
- Gemini Robotics-ER 1.6 Preview$20.00
Which should you choose?
Which is better: GLM-5-Turbo, DeepSeek V4 Pro or Gemini Robotics-ER 1.6 Preview?
Gemini Robotics-ER 1.6 Preview is the better all-round choice, scoring 50/100 against DeepSeek V4 Pro (45) and GLM-5-Turbo (38). It leads on inputs & features. DeepSeek V4 Pro wins on price and context window. 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, DeepSeek V4 Pro or Gemini Robotics-ER 1.6 Preview?
DeepSeek V4 Pro is cheaper at $1.32 input / $3.00 output per million tokens (median across 49 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 $1.74 per million tokens for DeepSeek V4 Pro versus $1.90 for GLM-5-Turbo (1.1× as much) and $2.00 for Gemini Robotics-ER 1.6 Preview (1.1× 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, DeepSeek V4 Pro 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, DeepSeek V4 Pro 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?
DeepSeek V4 Pro has the largest context window at 1,000,000 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, DeepSeek V4 Pro up to 384,000, Gemini Robotics-ER 1.6 Preview up to 65,536 tokens.
Which can read images, PDFs, audio or video?
GLM-5-Turbo accepts text; DeepSeek V4 Pro accepts text; 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?
DeepSeek V4 Pro publishes its weights and can be self-hosted; GLM-5-Turbo and Gemini Robotics-ER 1.6 Preview is proprietary.
Which is newer?
DeepSeek V4 Pro is the newest, released Apr 24, 2026. Gemini Robotics-ER 1.6 Preview came out Apr 14, 2026; GLM-5-Turbo came out Mar 16, 2026. Knowledge cutoff: DeepSeek V4 Pro May 2025, 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.
