x-ai
SpaceXAI: Grok Build 0.1
x-ai/grok-build-0.1
Our take
AI-assisted analysis based on the sources below. Suitability is an editorial assessment; test it on your own workload.
According to the OpenRouter catalog, x-ai/grok-build-0.1 (listed as SpaceXAI: Grok Build 0.1) is a coding-oriented model described in the catalog as a fast model trained for agentic software engineering workflows. The catalog reports text, image, and file inputs with text output, a 256,000-token context window, mandatory reasoning, and support for tool calling and structured outputs. No independent model card was available in this source pack, so the capabilities are catalog-reported rather than independently verified and should be validated on representative workloads.[1]
Strengths
- The catalog reports a large context window and multimodal inputs (text, image, file) with text output, which may suit code workflows involving screenshots or documents.[1]
- Listed parameters include tool calling, structured outputs, response formatting, seed, and logprobs, which are useful plumbing for agentic pipelines.[1]
- The catalog positions it as a fast coding model trained for agentic software engineering and publishes an Artificial Analysis coding index entry.[1]
Limitations
- All evidence comes from the OpenRouter catalog alone; no independent model card or external evaluation was available in this source pack, so real-world behavior should be validated on your workloads.[1]
- The catalog marks reasoning as mandatory and lists no adjustable effort levels, which may limit control over latency trade-offs.[1]
- Knowledge cutoff is not listed, and output is limited to text only.[1]
Where to use it
- Potential fit for agentic coding assistants and interactive development help, matching the catalog's stated positioning.[1]
- Plausible option for workflows combining code with visual or document inputs, given the reported multimodal input support.[1]
- Candidate for tool-using pipelines that need function calling and schema-constrained outputs, as reported by the catalog.[1]
Sources
- [1] OpenRouter catalog · SpaceXAI: Grok Build 0.1Sources checked: Nov 13, 2026
About this model
Description below is the original text supplied by OpenRouter, shown in the source language.
Grok Build 0.1 is SpaceXAI’s fast coding model trained specifically for agentic software engineering workflows. It supports text and image inputs with text output, and is optimized for interactive coding...
Specifications
- Model ID
- x-ai/grok-build-0.1
- Canonical ID
- x-ai/grok-build-0.1-20260520
- Creator
- x-ai
- Added to OpenRouter
- 20.05.2026
- Context length
- 256,000
- Modality
- text+image+file->text
- Input modalities
- text, image, file
- Output modalities
- text
- Token pricing
- USD per 1M tokens: in $1 / out $2
- 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 · parameters: include_reasoning, reasoning |
| Coding | BB — next 30% of the cohort | — |
| Agents | No measurement | parameters: structured_outputs, tool_choice, tools |
| Writing | No measurement | output: text |
| Reasoning | No measurement | reasoning: mandatory · parameters: include_reasoning, reasoning |
| 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 | 51.5 | 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 | 256,000 | $1 | $2 | — | — | 100% |
| xAI | 256,000 | $1 | $2 | — | — | — |
| xAI | 256,000 | $2 | $4 | — | — | — |
| xAI | 256,000 | $2 | $4 | — | — | — |
Provider data retrieved: 13.11.2026
Related articles
No published articles identify this model yet.