Gemini Robotics-ER 1.6 Preview vs GLM-5.1 vs GLM-5-Turbo

Gemini Robotics-ER 1.6 Preview is the better all-round choice, scoring 50/100 against GLM-5-Turbo (38) and GLM-5.1 (37). It leads 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.

GLM-5-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-5-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).

There is no independent benchmark that covers all three models yet. Gemini Robotics-ER 1.6 Preview has not been scored yet, GLM-5.1 has an ECI of 149.9 and GLM-5-Turbo has not been scored yet.

There are no published SWE-bench Verified results for Gemini Robotics-ER 1.6 Preview and GLM-5-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.

GLM-5.1 and GLM-5-Turbo 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: Gemini Robotics-ER 1.6 Preview up to 65,536, GLM-5.1 up to 131,072, GLM-5-Turbo up to 131,072 tokens.

Gemini Robotics-ER 1.6 Preview accepts text, images, audio and video; GLM-5.1 accepts text; GLM-5-Turbo accepts text. Gemini Robotics-ER 1.6 Preview handles the widest range of inputs.

GLM-5.1 publishes its weights and can be self-hosted; Gemini Robotics-ER 1.6 Preview and GLM-5-Turbo is proprietary.

Gemini Robotics-ER 1.6 Preview is the newest, released Apr 14, 2026. GLM-5.1 came out Apr 7, 2026; GLM-5-Turbo came out Mar 16, 2026. Knowledge cutoff: Gemini Robotics-ER 1.6 Preview Jan 2025.

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.