x-ai
SpaceXAI: Grok 4.3
x-ai/grok-4.3
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter’s catalog presents x-ai/grok-4.3 as a SpaceXAI reasoning model with text, image, and file inputs and text output. It reports optional reasoning enabled by default at low effort, multiple effort settings, tool and structured-output parameters, and a very large context window. The same catalog includes benchmark tables with mixed results across agentic, design, coding, and web tasks. Because this source pack contains only catalog data and no independent model card, treat capabilities as provider/catalog-reported and validate on your workload.[1]
Strengths
- Catalog-reported multimodal input: text, image, and file can be supplied, with text as the listed output.[1]
- Reasoning is described as optional but enabled by default at low effort, with high, medium, low, and none supported.[1]
- The catalog lists tool calling, structured outputs, seed/logprobs/response-format controls, and a large context window for agentic-style integrations.[1]
Limitations
- Only OpenRouter catalog evidence was supplied; no independent model card was available in this source pack, so safety, licensing, deployment, and hardware details remain unknown.[1]
- Reported benchmark entries are mixed across categories and should be read as measured snapshots, not proof of broad superiority; validate against your tasks.[1]
- Output is listed as text only, and fields such as knowledge cutoff are not specified in the catalog record.[1]
Where to use it
- Consider for agentic or instruction-following assistants that accept documents or images and return text; verify tools and reasoning settings first.[1]
- Consider for slide, web/app, spreadsheet, or data-visualization prototyping where the catalog’s benchmark categories suggest coverage; test quality on your artifacts.[1]
- Consider for structured-output or tool-use integrations because the corresponding request parameters are listed in the catalog.[1]
Sources
- [1] OpenRouter catalog · SpaceXAI: Grok 4.3Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Grok 4.3 is a reasoning model from SpaceXAI. It accepts text and image inputs with text output, and is suited for agentic workflows, instruction-following tasks, and applications requiring high factual...
Specifications
- Model ID
- x-ai/grok-4.3
- Canonical ID
- x-ai/grok-4.3-20260430
- Creator
- x-ai
- Added to OpenRouter
- 30.04.2026
- Context length
- 1,000,000
- Modality
- text+image+file->text
- Input modalities
- text, image, file
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $1.25 / out $2.5
- Knowledge cutoff
- —
- Expiration date
- —
Tasks and capabilities
A grade appears only where the source supplies a matching measurement for that task, the model is active and the cohort holds at least 10 comparable models. The capability column lists facts the source declares — supported formats, reasoning and tool parameters — which are not measured quality.
| Task | Grade | Source-declared capability |
|---|---|---|
| General quality | No measurement | reasoning: optional · default low · efforts: high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | BB — next 30% of the cohort | — |
| Agents | BB — next 30% of the cohort | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: optional · default low · efforts: high, medium, low, none · parameters: include_reasoning, reasoning, reasoning_effort |
| Document analysis | No measurement | input: file |
| Vision | No measurement | input: image |
| Image generation | No measurement | — |
| Audio | No measurement | — |
| Video | No measurement | — |
| Embeddings | No measurement | — |
Evaluations
| Source | Benchmark | Value | Grade | Data retrieved |
|---|---|---|---|---|
| Artificial Analysis | Coding index | 42.2 | BB — next 30% of the cohort | 13.11.2026 |
| Artificial Analysis | Agentic index | 15.5 | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · agenticgamedevwin rate 28.8% · rank 25 | 955Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · agentichtmlslideswin rate 31.8% · rank 9 | 1,066Elo | —Not rated | 13.11.2026 |
| Design Arena | agents · agenticslideswin rate 31.9% · rank 9 | 1,072Elo | —Not rated | 13.11.2026 |
| Design Arena | agents · agenticslides(html)win rate 31.7% · rank 9 | 1,066Elo | —Not rated | 13.11.2026 |
| Design Arena | agents · agenticslides(python-pptx)win rate 32.4% · rank 9 | 1,068Elo | —Not rated | 13.11.2026 |
| Design Arena | agents · androidnativewin rate 22.9% · rank 43 | 955Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · blender3dwin rate 15.5% · rank 25 | 807Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · codetovideowin rate 18.3% · rank 22 | 894Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · fullstackwin rate 28% · rank 42 | 987Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · godotgamedevwin rate 23.5% · rank 36 | 920Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · htmlslideswin rate 28.6% · rank 25 | 906Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · mobileappswin rate 32.9% · rank 48 | 1,052Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · pdfwin rate 20.4% · rank 30 | 933Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · pptxslideswin rate 32.5% · rank 8 | 1,071Elo | —Not rated | 13.11.2026 |
| Design Arena | agents · python-pptxslideswin rate 30.8% · rank 27 | 1,072Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · spreadsheetwin rate 29.6% · rank 29 | 993Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · webappswin rate 42.5% · rank 37 | 1,107Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · 3dwin rate 40.7% · rank 90 | 1,107Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · asciiartwin rate 42.2% · rank 55 | 1,122Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 43.5% · rank 69 | 1,176Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · datavizwin rate 45.1% · rank 67 | 1,177Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · gamedevwin rate 42.6% · rank 71 | 1,162Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · svgwin rate 36.8% · rank 74 | 1,073Elo | CC — below the B band | 13.11.2026 |
| Design Arena | models · uicomponentwin rate 45.1% · rank 69 | 1,186Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · websitewin rate 44% · rank 71 | 1,187Elo | BB — next 30% of the cohort | 13.11.2026 |
How grades work
Each letter grade compares a model only against other models scored by the same source and metric in the current snapshot. S means the top 10%, A the next 20%, B the next 30%, C the rest. Models without a published measurement are shown as not rated — a supported format alone never implies measured quality.
- S — S — top 10% of the cohort
- A — A — next 20% of the cohort
- B — B — next 30% of the cohort
- C — C — below the B band
Providers
Optional live provider statistics from OpenRouter. Missing values are unknown, not zero.
| Provider | Context length | Price in /1M | Price out /1M | Latency p50 (30m, s) | Throughput p50 (30m, tok/s) | Uptime (30m) |
|---|---|---|---|---|---|---|
| xAI | 1,000,000 | $1.25 | $2.5 | — | — | 100% |
| xAI | 1,000,000 | $1.25 | $2.5 | — | — | 100% |
| xAI | 1,000,000 | $2.5 | $5 | — | — | — |
| xAI | 1,000,000 | $2.5 | $5 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.