Qwen3 VL 235B A22B Thinking vs Gemini Robotics-ER 1.6 Preview
Too close to call on our weighted score (Gemini Robotics-ER 1.6 Preview 50, Qwen3 VL 235B A22B Thinking 48). The right pick depends on what you value most.
Alibaba (Qwen)Qwen3 VL 235B A22B Thinking
48/100- ECI—
- Price$0.40 / $4.00
- Context131K
GoogleGemini Robotics-ER 1.6 Preview
50/100- ECI—
- Price$1.00 / $5.00
- Context131K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 2 points (Gemini Robotics-ER 1.6 Preview 50/100, Qwen3 VL 235B A22B Thinking 48/100), so choose by what matters most for your work: Qwen3 VL 235B A22B Thinking on price. 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 VL 235B A22B ThinkingQwen3 VL 235B A22B Thinking $1.30 · Gemini Robotics-ER 1.6 Preview $2.00 per 1M tokens (3:1 blend)
- Longest contextAbout the sameQwen3 VL 235B A22B Thinking 131,072 · Gemini Robotics-ER 1.6 Preview 131,072 tokens
- Widest inputsGemini Robotics-ER 1.6 PreviewQwen3 VL 235B A22B Thinking: Text, Images · Gemini Robotics-ER 1.6 Preview: Text, Images, Audio, Video
- Self-hostingQwen3 VL 235B A22B ThinkingPublishes downloadable weights
| Measure | Weight | Qwen3 VL 235B A22B Thinking | Gemini Robotics-ER 1.6 Preview |
|---|---|---|---|
| Price | 50% | 44 | 36 |
| Inputs & features | 30% | 70 | 90 |
| Context window | 20% | 24 | 24 |
| Overall | 100% | 48/100 | 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 | Qwen3 VL 235B A22B ThinkingAlibaba (Qwen) | Gemini Robotics-ER 1.6 PreviewGoogle |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.40 (best) | $1.00 |
| Output | $4.00 (best) | $5.00 |
| Cached input | — | — |
| Blended (3:1) | $1.30 (best) | $2.00 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 9 providers | Median of 1 providers |
| Limits | ||
| Context window | 131,072 tokens | 131,072 tokens |
| Max output | 32,768 tokens | 65,536 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | No |
| Audio | No | Yes |
| Video | No | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | — | — |
| API providers | 9 (best) | 1 |
| Released | Sep 23, 2025 | Apr 14, 2026 |
| Knowledge cutoff | Mar 31, 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.
- Qwen3 VL 235B A22B Thinking$12.00
- Gemini Robotics-ER 1.6 Preview$20.00
Which should you choose?
Which is better: Qwen3 VL 235B A22B Thinking or Gemini Robotics-ER 1.6 Preview?
It is close. Our weighted score puts them within 2 points (Gemini Robotics-ER 1.6 Preview 50/100, Qwen3 VL 235B A22B Thinking 48/100), so choose by what matters most for your work: Qwen3 VL 235B A22B Thinking on price. 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, Qwen3 VL 235B A22B Thinking or Gemini Robotics-ER 1.6 Preview?
Qwen3 VL 235B A22B Thinking is cheaper at $0.40 input / $4.00 output per million tokens (median across 9 API providers). 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 $1.30 per million tokens for Qwen3 VL 235B A22B Thinking versus $2.00 for Gemini Robotics-ER 1.6 Preview (1.5× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Qwen3 VL 235B A22B Thinking 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 Qwen3 VL 235B A22B Thinking 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. Both support tool calling for agent workflows.
Which has the bigger context window?
Qwen3 VL 235B A22B Thinking and Gemini Robotics-ER 1.6 Preview share the same 131,072-token context window. Maximum output per response: Qwen3 VL 235B A22B Thinking up to 32,768, Gemini Robotics-ER 1.6 Preview up to 65,536 tokens.
Which can read images, PDFs, audio or video?
Qwen3 VL 235B A22B Thinking accepts text and images; 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?
Qwen3 VL 235B A22B Thinking publishes its weights and can be self-hosted; Gemini Robotics-ER 1.6 Preview is proprietary.
Which is newer?
Gemini Robotics-ER 1.6 Preview is the newest, released Apr 14, 2026. Qwen3 VL 235B A22B Thinking came out Sep 23, 2025. Knowledge cutoff: Qwen3 VL 235B A22B Thinking Mar 31, 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.
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