LLM ReferenceLLM Reference

Grok 4.1 vs o3

Grok 4.1 (2025) and o3 (2025) are frontier-tier reasoning models from xAI and OpenAI. Grok 4.1 ships a 2M-token context window, while o3 ships a 200K-token context window. On Chatbot Arena, Grok 4.1 leads by 52 pts. This comparison covers specs, pricing, capabilities, benchmarks, provider availability, and production fit. It focuses on practical selection signals rather than broad model-family marketing.

Grok 4.1 fits 10x more tokens; pick it for long-context work and o3 for tighter calls.

Specs

Specification
Released2025-11-172025-03-31
Context window2M200K
Parameters
Architecture-decoder only
LicenseProprietaryProprietary
Knowledge cutoff--

Pricing and availability

Pricing attributeGrok 4.1o3
Input price-$2/1M tokens
Output price-$8/1M tokens
Providers-

Capabilities

CapabilityGrok 4.1o3
VisionNoNo
MultimodalYesNo
ReasoningYesYes
Function callingYesNo
Tool useYesNo
Structured outputsNoYes
Code executionNoYes

Benchmarks

BenchmarkGrok 4.1o3
Chatbot Arena1464.01412.0

Deep dive

On shared benchmark coverage, Chatbot Arena has Grok 4.1 at 1464 and o3 at 1412, with Grok 4.1 ahead by 52 points. The largest visible gap is 52 points on Chatbot Arena, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.

The capability footprint differs most on multimodal input: Grok 4.1, function calling: Grok 4.1, tool use: Grok 4.1, structured outputs: o3, and code execution: o3. Both models share reasoning mode, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

Pricing coverage is uneven: Grok 4.1 has no token price sourced yet and o3 has $2/1M input tokens. Provider availability is 0 tracked routes versus 2. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Grok 4.1 when long-context analysis and larger context windows are central to the workload. Choose o3 when coding workflow support and broader provider choice are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.

FAQ

Which has a larger context window, Grok 4.1 or o3?

Grok 4.1 supports 2M tokens, while o3 supports 200K tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Is Grok 4.1 or o3 open source?

Grok 4.1 is listed under Proprietary. o3 is listed under Proprietary. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for multimodal input, Grok 4.1 or o3?

Grok 4.1 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for reasoning mode, Grok 4.1 or o3?

Both Grok 4.1 and o3 expose reasoning mode. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Which is better for function calling, Grok 4.1 or o3?

Grok 4.1 has the clearer documented function calling signal in this comparison. If function calling is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run Grok 4.1 and o3?

Grok 4.1 is available on the tracked providers still being sourced. o3 is available on OpenAI API and OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-11. Data sourced from public model cards and provider documentation.