Qwen3 235B-A22B vs Gemini Robotics-ER 1.6 Preview vs DeepSeek-R1
Gemini Robotics-ER 1.6 Preview comes out ahead, 50 to 39 and 38 on our weighted score, though DeepSeek-R1 is 41% cheaper per token.
Alibaba (Qwen)Qwen3 235B-A22B
38/100- ECI139.4
- Price$0.70 / $2.80
- Context131K
- Our pick
GoogleGemini Robotics-ER 1.6 Preview
50/100- ECI—
- Price$1.00 / $5.00
- Context131K
DeepSeekDeepSeek-R1
39/100- ECI139.0
- Price$0.70 / $2.60
- Context128K
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-R1 (39) and Qwen3 235B-A22B (38). 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.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceDeepSeek-R1DeepSeek-R1 $1.18 · Qwen3 235B-A22B $1.23 · Gemini Robotics-ER 1.6 Preview $2.00 per 1M tokens (3:1 blend)
- Longest contextQwen3 235B-A22B and Gemini Robotics-ER 1.6 PreviewQwen3 235B-A22B 131,072 · Gemini Robotics-ER 1.6 Preview 131,072 · DeepSeek-R1 128,000 tokens
- Widest inputsGemini Robotics-ER 1.6 PreviewQwen3 235B-A22B: Text · Gemini Robotics-ER 1.6 Preview: Text, Images, Audio, Video · DeepSeek-R1: Text
- Self-hostingQwen3 235B-A22B and DeepSeek-R1Publishes downloadable weights
| Measure | Weight | Qwen3 235B-A22B | Gemini Robotics-ER 1.6 Preview | DeepSeek-R1 |
|---|---|---|---|---|
| Price | 50% | 46 | 36 | 47 |
| Inputs & features | 30% | 35 | 90 | 35 |
| Context window | 20% | 24 | 24 | 24 |
| Overall | 100% | 38/100 | 50/100 | 39/100 |
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 235B-A22BAlibaba (Qwen) | Gemini Robotics-ER 1.6 PreviewGoogle | DeepSeek-R1DeepSeek |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 139.4 (best) | — | 139.0 |
| ECI rank | #103 of 148 (best) | — | #104 of 148 |
| GPQA DiamondGraduate-level science questions | 70.7% | — | 71.7% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | — | — | 53.3% |
| Price per million tokens | |||
| Input | $0.70 (best) | $1.00 | $0.70 (best) |
| Output | $2.80 | $5.00 | $2.60 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $1.23 | $2.00 | $1.18 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Alibaba API | Median of 1 providers | Median of 11 providers |
| Limits | |||
| Context window | 131,072 tokens (best) | 131,072 tokens (best) | 128,000 tokens |
| Max output | 16,384 tokens | 65,536 tokens (best) | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Proprietary | Open |
| API model ID | qwen3-235b-a22b | — | — |
| API providers | 7 | 1 | 12 (best) |
| Released | Apr 28, 2025 | Apr 14, 2026 | Jan 20, 2025 |
| Knowledge cutoff | Apr 2025 | Jan 2025 | Jul 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Qwen3 235B-A22B$12.60
- Gemini Robotics-ER 1.6 Preview$20.00
- DeepSeek-R1$12.20
Which should you choose?
Which is better: Qwen3 235B-A22B, Gemini Robotics-ER 1.6 Preview or DeepSeek-R1?
Gemini Robotics-ER 1.6 Preview is the better all-round choice, scoring 50/100 against DeepSeek-R1 (39) and Qwen3 235B-A22B (38). 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.
Which is cheaper, Qwen3 235B-A22B, Gemini Robotics-ER 1.6 Preview or DeepSeek-R1?
DeepSeek-R1 is cheaper at $0.70 input / $2.60 output per million tokens (median across 11 API providers). Qwen3 235B-A22B costs $0.70 input / $2.80 output per million tokens (official Alibaba 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 $1.23 for Qwen3 235B-A22B (1× 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. Qwen3 235B-A22B has an ECI of 139.4, Gemini Robotics-ER 1.6 Preview has not been scored yet and DeepSeek-R1 has an ECI of 139.0.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3 235B-A22B, Gemini Robotics-ER 1.6 Preview and DeepSeek-R1 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?
Qwen3 235B-A22B and Gemini Robotics-ER 1.6 Preview have the largest context windows (131,072 and 131,072 tokens), against 128,000 for DeepSeek-R1. Maximum output per response: Qwen3 235B-A22B up to 16,384, Gemini Robotics-ER 1.6 Preview up to 65,536, DeepSeek-R1 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Qwen3 235B-A22B accepts text; Gemini Robotics-ER 1.6 Preview accepts text, images, audio and video; DeepSeek-R1 accepts text. Gemini Robotics-ER 1.6 Preview handles the widest range of inputs.
Are any of these open source?
Qwen3 235B-A22B and DeepSeek-R1 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 235B-A22B came out Apr 28, 2025; DeepSeek-R1 came out Jan 20, 2025. Knowledge cutoff: Qwen3 235B-A22B Apr 2025, Gemini Robotics-ER 1.6 Preview Jan 2025, DeepSeek-R1 Jul 2024.
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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