Kimi K2.7 Code vs Gemini Robotics-ER 1.6 Preview vs Grok 4.3
Grok 4.3 comes out ahead, 56 to 51 and 50 on our weighted score, and it is the cheaper option too.
Moonshot AI
Kimi K2.7 Code
51/100- ECI150.0
- Price$0.95 / $4.00
- Context262K
Google
Gemini Robotics-ER 1.6 Preview
50/100- ECI—
- Price$1.00 / $5.00
- Context131K
- 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 Kimi K2.7 Code (51) and Gemini Robotics-ER 1.6 Preview (50). It leads on price and 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 · Kimi K2.7 Code $1.71 · Gemini Robotics-ER 1.6 Preview $2.00 per 1M tokens (3:1 blend)
- Longest contextGrok 4.3Grok 4.3 1,000,000 · Kimi K2.7 Code 262,144 · Gemini Robotics-ER 1.6 Preview 131,072 tokens
- Widest inputsGemini Robotics-ER 1.6 PreviewKimi K2.7 Code: Text, Images, Video · Gemini Robotics-ER 1.6 Preview: Text, Images, Audio, Video · Grok 4.3: Text, Images, PDFs
- Self-hostingKimi K2.7 CodePublishes downloadable weights
| Measure | Weight | Kimi K2.7 Code | Gemini Robotics-ER 1.6 Preview | Grok 4.3 |
|---|---|---|---|---|
| Price | 50% | 39 | 36 | 41 |
| Inputs & features | 30% | 80 | 90 | 80 |
| Context window | 20% | 37 | 24 | 60 |
| Overall | 100% | 51/100 | 50/100 | 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) | 150.0 (best) | — | 149.2 |
| ECI rank | #49 of 148 (best) | — | #55 of 148 |
| GPQA DiamondGraduate-level science questions | 87.9% | — | 88.8% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | 54.0% (best) | — | 42.8% |
| OTIS Mock AIME 2024–2025Competition mathematics | 95.6% (best) | — | 93.3% |
| SimpleQA VerifiedShort factual questions | 36.5% (best) | — | 33.2% |
| Price per million tokens | |||
| Input | $0.95 (best) | $1.00 | $1.25 |
| Output | $4.00 | $5.00 | $2.50 (best) |
| Cached input | $0.19 (best) | — | $0.20 |
| Blended (3:1) | $1.71 | $2.00 | $1.56 (best) |
| Long-context rate | Same rate | Same rate | Over 200K: $2.50 / $5.00 |
| Price source | Official Moonshot AI API | Median of 1 providers | Official xAI API |
| Limits | |||
| Context window | 262,144 tokens | 131,072 tokens | 1,000,000 tokens (best) |
| Max output | 262,144 tokens (best) | 65,536 tokens | 30,000 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | No | Yes | No |
| Video | Yes | Yes | No |
| Reasoning | Yes | Yes | Yeslow · medium · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | kimi-k2.7-code | — | grok-4.3 |
| API providers | 51 (best) | 1 | 27 |
| Released | Jun 12, 2026 | Apr 14, 2026 | Apr 17, 2026 |
| Knowledge cutoff | Jan 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.
Kimi K2.7 Code$17.50
Gemini Robotics-ER 1.6 Preview$20.00
Grok 4.3$17.50
Which should you choose?
Which is better: Kimi K2.7 Code, Gemini Robotics-ER 1.6 Preview or Grok 4.3?
Grok 4.3 is the better all-round choice, scoring 56/100 against Kimi K2.7 Code (51) and Gemini Robotics-ER 1.6 Preview (50). It leads on price and 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, Kimi K2.7 Code, Gemini Robotics-ER 1.6 Preview or Grok 4.3?
Grok 4.3 is cheaper at $1.25 input / $2.50 output per million tokens (official xAI API price). Kimi K2.7 Code costs $0.95 input / $4.00 output per million tokens (official Moonshot 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 $1.56 per million tokens for Grok 4.3 versus $1.71 for Kimi K2.7 Code (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. Kimi K2.7 Code has an ECI of 150.0, Gemini Robotics-ER 1.6 Preview has not been scored yet and Grok 4.3 has an ECI of 149.2.
Which is better for coding?
There are no published SWE-bench Verified results for Kimi K2.7 Code, Gemini Robotics-ER 1.6 Preview 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 262,144 for Kimi K2.7 Code and 131,072 for Gemini Robotics-ER 1.6 Preview. Maximum output per response: Kimi K2.7 Code up to 262,144, Gemini Robotics-ER 1.6 Preview up to 65,536, Grok 4.3 up to 30,000 tokens.
Which can read images, PDFs, audio or video?
Kimi K2.7 Code accepts text, images and video; Gemini Robotics-ER 1.6 Preview accepts text, images, audio and video; 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?
Kimi K2.7 Code publishes its weights and can be self-hosted; Gemini Robotics-ER 1.6 Preview and Grok 4.3 is proprietary.
Which is newer?
Kimi K2.7 Code is the newest, released Jun 12, 2026. Grok 4.3 came out Apr 17, 2026; Gemini Robotics-ER 1.6 Preview came out Apr 14, 2026. Knowledge cutoff: Kimi K2.7 Code Jan 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.