GLM-5V-Turbo vs Qwen3 235B-A22B vs Gemini Robotics-ER 1.6 Preview
Too close to call on our weighted score (Gemini Robotics-ER 1.6 Preview 50, GLM-5V-Turbo 49, Qwen3 235B-A22B 38). The right pick depends on what you value most.
Z.ai (Zhipu)GLM-5V-Turbo
49/100- ECI—
- Price$1.20 / $4.00
- Context200K
Alibaba (Qwen)Qwen3 235B-A22B
38/100- ECI139.4
- Price$0.70 / $2.80
- Context131K
GoogleGemini Robotics-ER 1.6 Preview
50/100- ECI—
- Price$1.00 / $5.00
- Context131K
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, Qwen3 235B-A22B 38/100), so choose by what matters most for your work: Qwen3 235B-A22B 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 priceQwen3 235B-A22BQwen3 235B-A22B $1.23 · 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 · Qwen3 235B-A22B 131,072 · Gemini Robotics-ER 1.6 Preview 131,072 tokens
- Widest inputsGLM-5V-Turbo and Gemini Robotics-ER 1.6 PreviewGLM-5V-Turbo: Text, Images, PDFs, Video · Qwen3 235B-A22B: Text · Gemini Robotics-ER 1.6 Preview: Text, Images, Audio, Video
- Self-hostingQwen3 235B-A22BPublishes downloadable weights
| Measure | Weight | GLM-5V-Turbo | Qwen3 235B-A22B | Gemini Robotics-ER 1.6 Preview |
|---|---|---|---|---|
| Price | 50% | 37 | 46 | 36 |
| Inputs & features | 30% | 80 | 35 | 90 |
| Context window | 20% | 32 | 24 | 24 |
| Overall | 100% | 49/100 | 38/100 | 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-5V-TurboZ.ai (Zhipu) | Qwen3 235B-A22BAlibaba (Qwen) | Gemini Robotics-ER 1.6 PreviewGoogle |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 139.4 | — |
| ECI rank | — | #103 of 148 | — |
| GPQA DiamondGraduate-level science questions | — | 70.7% | — |
| Price per million tokens | |||
| Input | $1.20 | $0.70 (best) | $1.00 |
| Output | $4.00 | $2.80 (best) | $5.00 |
| Cached input | $0.24 | — | — |
| Blended (3:1) | $1.90 | $1.23 (best) | $2.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Z.AI API | Official Alibaba API | Median of 1 providers |
| Limits | |||
| Context window | 200,000 tokens (best) | 131,072 tokens | 131,072 tokens |
| Max output | 131,072 tokens (best) | 16,384 tokens | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | Yes | No | No |
| Audio | No | No | Yes |
| Video | Yes | No | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | glm-5v-turbo | qwen3-235b-a22b | — |
| API providers | 14 (best) | 7 | 1 |
| Released | Apr 1, 2026 | Apr 28, 2025 | Apr 14, 2026 |
| Knowledge cutoff | — | Apr 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-5V-Turbo$20.00
- Qwen3 235B-A22B$12.60
- Gemini Robotics-ER 1.6 Preview$20.00
Which should you choose?
Which is better: GLM-5V-Turbo, Qwen3 235B-A22B or Gemini Robotics-ER 1.6 Preview?
It is close. Our weighted score puts them within 1 points (Gemini Robotics-ER 1.6 Preview 50/100, GLM-5V-Turbo 49/100, Qwen3 235B-A22B 38/100), so choose by what matters most for your work: Qwen3 235B-A22B 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, GLM-5V-Turbo, Qwen3 235B-A22B or Gemini Robotics-ER 1.6 Preview?
Qwen3 235B-A22B is cheaper at $0.70 input / $2.80 output per million tokens (official Alibaba 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 $1.23 per million tokens for Qwen3 235B-A22B versus $1.90 for GLM-5V-Turbo (1.6× as much) and $2.00 for Gemini Robotics-ER 1.6 Preview (1.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. GLM-5V-Turbo has not been scored yet, Qwen3 235B-A22B has an ECI of 139.4 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-5V-Turbo, Qwen3 235B-A22B 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?
GLM-5V-Turbo has the largest context window at 200,000 tokens, against 131,072 for Qwen3 235B-A22B and 131,072 for Gemini Robotics-ER 1.6 Preview. Maximum output per response: GLM-5V-Turbo up to 131,072, Qwen3 235B-A22B up to 16,384, Gemini Robotics-ER 1.6 Preview up to 65,536 tokens.
Which can read images, PDFs, audio or video?
GLM-5V-Turbo accepts text, images, PDFs and video; Qwen3 235B-A22B accepts text; Gemini Robotics-ER 1.6 Preview accepts text, images, audio and video. GLM-5V-Turbo handles the widest range of inputs.
Are any of these open source?
Qwen3 235B-A22B publishes its weights and can be self-hosted; GLM-5V-Turbo and Gemini Robotics-ER 1.6 Preview 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; Qwen3 235B-A22B came out Apr 28, 2025. Knowledge cutoff: Qwen3 235B-A22B Apr 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.
