x-ai
SpaceXAI: Grok 4.5
x-ai/grok-4.5
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
OpenRouter's catalog describes x-ai/grok-4.5 as a SpaceXAI model for coding, knowledge work, and STEM. It lists text, image, and file inputs with text output, a 500,000-token context window, tool and structured-output parameters, and reasoning that is always enabled, defaulting to high with medium and low options. The catalog also records Design Arena and Artificial Analysis benchmark measurements. Because this source pack contains no independent model card, treat those capability and performance signals as catalog-reported and validate them on the intended workload.[1]
Strengths
- Accepts text, image, and file inputs while returning text; the context window is listed as 500,000 tokens.[1]
- The catalog description targets coding, knowledge work, and STEM, and benchmark measurements are recorded for agentic and coding-oriented tasks.[1]
- Supports tools, structured outputs, response formats, seeds, logprobs, and adjustable reasoning effort.[1]
Limitations
- Evidence is catalog-only; no independent model card was included, so capabilities and results need workload validation.[1]
- Reasoning cannot be disabled; it defaults to high, with medium and low options listed.[1]
- No knowledge cutoff is given, benchmark methods are not described, and output is text only.[1]
Where to use it
- Potential fit for long-document or multimodal review when text answers suffice; test file and image handling on real inputs.[1]
- Candidate for coding, STEM, and knowledge-work assistants, consistent with the catalog positioning; compare results on representative tasks.[1]
- Possible option for tool-using or structured-output workflows where always-on reasoning is acceptable; validate effort settings and output reliability.[1]
Sources
- [1] OpenRouter catalog · SpaceXAI: Grok 4.5Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Grok 4.5 is a model from SpaceXAI with frontier performance on coding, knowledge work, and STEM.
Specifications
- Model ID
- x-ai/grok-4.5
- Canonical ID
- x-ai/grok-4.5-20260708
- Creator
- x-ai
- Added to OpenRouter
- 08.07.2026
- Context length
- 500,000
- Modality
- text+image+file->text
- Input modalities
- text, image, file
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $2 / out $6
- 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: mandatory · default high · efforts: high, medium, low · parameters: include_reasoning, reasoning, reasoning_effort |
| Coding | AA — next 20% of the cohort | — |
| Agents | AA — next 20% of the cohort | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: mandatory · default high · efforts: high, medium, low · 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 | 72.4 | AA — next 20% of the cohort | 13.11.2026 |
| Artificial Analysis | Agentic index | 41.2 | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · agenticgamedevwin rate 55.8% · rank 6 | 1,184Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · androidnativewin rate 63.1% · rank 10 | 1,227Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · blender3dwin rate 45.3% · rank 17 | 1,053Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · codetovideowin rate 45.2% · rank 14 | 1,123Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · fullstackwin rate 60% · rank 12 | 1,227Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · godotgamedevwin rate 57.9% · rank 12 | 1,211Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | agents · htmlslideswin rate 52.5% · rank 10 | 1,100Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · mobileappswin rate 51.2% · rank 17 | 1,208Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · pdfwin rate 45.2% · rank 27 | 1,138Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · python-pptxslideswin rate 54.1% · rank 13 | 1,196Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | agents · spreadsheetwin rate 44.4% · rank 23 | 1,106Elo | CC — below the B band | 13.11.2026 |
| Design Arena | agents · webappswin rate 53% · rank 21 | 1,200Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · 3dwin rate 49.8% · rank 36 | 1,238Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · asciiartwin rate 52.8% · rank 18 | 1,249Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · codecategorieswin rate 50.6% · rank 33 | 1,265Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · datavizwin rate 49.8% · rank 27 | 1,265Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · gamedevwin rate 48.5% · rank 37 | 1,252Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · svgwin rate 47.5% · rank 28 | 1,202Elo | BB — next 30% of the cohort | 13.11.2026 |
| Design Arena | models · uicomponentwin rate 51.2% · rank 33 | 1,270Elo | AA — next 20% of the cohort | 13.11.2026 |
| Design Arena | models · websitewin rate 52.4% · rank 27 | 1,274Elo | AA — next 20% 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 | 500,000 | $2 | $6 | — | — | 100% |
| xAI | 500,000 | $2 | $6 | — | — | 100% |
| xAI | 500,000 | $4 | $12 | — | — | — |
| xAI | 500,000 | $4 | $12 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.