Gemini Robotics-ER 1.6 Preview vs GPT-5.4 mini vs Grok 4.3
Grok 4.3 comes out ahead, 56 to 50 and 49 on our weighted score, and it is the cheaper option too.
Google
Gemini Robotics-ER 1.6 Preview
50/100- ECI—
- Price$1.00 / $5.00
- Context131K
OpenAI
GPT-5.4 mini
49/100- ECI148.8
- Price$0.75 / $4.50
- Context400K
- Our pick
xAI
Grok 4.3
56/100- ECI149.2
- Price$1.25 / $2.50
- Context1M
Grok 4.3 is our pick
Grok 4.3 is the better all-round choice, scoring 56/100 against Gemini Robotics-ER 1.6 Preview (50) and GPT-5.4 mini (49). It leads on context window. Gemini Robotics-ER 1.6 Preview wins 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 priceGrok 4.3Grok 4.3 $1.56 · GPT-5.4 mini $1.69 · Gemini Robotics-ER 1.6 Preview $2.00 per 1M tokens (3:1 blend)
- Longest contextGrok 4.3Grok 4.3 1,000,000 · GPT-5.4 mini 400,000 · Gemini Robotics-ER 1.6 Preview 131,072 tokens
- Widest inputsGemini Robotics-ER 1.6 PreviewGemini Robotics-ER 1.6 Preview: Text, Images, Audio, Video · GPT-5.4 mini: Text, Images · Grok 4.3: Text, Images, PDFs
- Self-hostingNo open weightsAll three are available only through APIs
| Measure | Weight | Gemini Robotics-ER 1.6 Preview | GPT-5.4 mini | Grok 4.3 |
|---|---|---|---|---|
| Price | 50% | 36 | 39 | 41 |
| Inputs & features | 30% | 90 | 70 | 80 |
| Context window | 20% | 24 | 44 | 60 |
| Overall | 100% | 50/100 | 49/100 | 56/100 |
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 | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 148.8 | 149.2 (best) |
| ECI rank | — | #56 of 148 | #55 of 148 (best) |
| GPQA DiamondGraduate-level science questions | — | 86.9% | 88.8% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | — | 51.2% (best) | 42.8% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 88.9% | 93.3% (best) |
| SimpleQA VerifiedShort factual questions | — | 29.4% | 33.2% (best) |
| Price per million tokens | |||
| Input | $1.00 | $0.75 (best) | $1.25 |
| Output | $5.00 | $4.50 | $2.50 (best) |
| Cached input | — | $0.075 (best) | $0.20 |
| Blended (3:1) | $2.00 | $1.69 | $1.56 (best) |
| Long-context rate | Same rate | Same rate | Over 200K: $2.50 / $5.00 |
| Price source | Median of 1 providers | Official OpenAI API | Official xAI API |
| Limits | |||
| Context window | 131,072 tokens | 400,000 tokens | 1,000,000 tokens (best) |
| Max output | 65,536 tokens | 128,000 tokens (best) | 30,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | Yes | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | Yeslow · medium · high · xhigh | Yeslow · medium · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Proprietary |
| API model ID | — | gpt-5.4-mini | grok-4.3 |
| API providers | 1 | 29 (best) | 27 |
| Released | Apr 14, 2026 | Mar 17, 2026 | Apr 17, 2026 |
| Knowledge cutoff | Jan 2025 | Aug 31, 2025 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Gemini Robotics-ER 1.6 Preview$20.00
GPT-5.4 mini$16.50
Grok 4.3$17.50
Which should you choose?
Which is better: Gemini Robotics-ER 1.6 Preview, GPT-5.4 mini or Grok 4.3?
Grok 4.3 is the better all-round choice, scoring 56/100 against Gemini Robotics-ER 1.6 Preview (50) and GPT-5.4 mini (49). It leads on context window. Gemini Robotics-ER 1.6 Preview wins 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, Gemini Robotics-ER 1.6 Preview, GPT-5.4 mini or Grok 4.3?
Grok 4.3 is cheaper at $1.25 input / $2.50 output per million tokens (official xAI API price). GPT-5.4 mini costs $0.75 input / $4.50 output per million tokens (official OpenAI 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 $1.56 per million tokens for Grok 4.3 versus $1.69 for GPT-5.4 mini (1.1× as much) and $2.00 for Gemini Robotics-ER 1.6 Preview (1.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Gemini Robotics-ER 1.6 Preview has not been scored yet, GPT-5.4 mini has an ECI of 148.8 and Grok 4.3 has an ECI of 149.2.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini Robotics-ER 1.6 Preview, GPT-5.4 mini and Grok 4.3 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?
Grok 4.3 has the largest context window at 1,000,000 tokens, against 400,000 for GPT-5.4 mini and 131,072 for Gemini Robotics-ER 1.6 Preview. Maximum output per response: Gemini Robotics-ER 1.6 Preview up to 65,536, GPT-5.4 mini up to 128,000, Grok 4.3 up to 30,000 tokens.
Which can read images, PDFs, audio or video?
Gemini Robotics-ER 1.6 Preview accepts text, images, audio and video; GPT-5.4 mini accepts text and images; Grok 4.3 accepts text, images and PDFs. Gemini Robotics-ER 1.6 Preview handles the widest range of inputs.
Are any of these open source?
No. Gemini Robotics-ER 1.6 Preview, GPT-5.4 mini and Grok 4.3 are proprietary and only available through APIs and apps.
Which is newer?
Grok 4.3 is the newest, released Apr 17, 2026. Gemini Robotics-ER 1.6 Preview came out Apr 14, 2026; GPT-5.4 mini came out Mar 17, 2026. Knowledge cutoff: Gemini Robotics-ER 1.6 Preview Jan 2025, GPT-5.4 mini Aug 31, 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.