Model profile
x-ai

xAI: Grok 3 Beta

xAI: Grok 3 Beta is a mid-range text-first model from x-ai with a heavy runtime profile, extended context posture, and the clearest fit around long-context research / reasoning.

Best for: Long-context research / ReasoningHeavy latencyExtended contextMid-range pricing
Intelligence
N/A

Benchmark blend

Coding
N/A

Dev workflow signal

Context
131K Tokens

Extended

Input Price
$3.00

Mid-range tier

Decision snapshot
52

xAI: Grok 3 Beta currently reads as a mid-range text-first option with extended context and a heavy runtime profile.

Overall profile
Use-case specific
Best for
Long-context research / Reasoning
Latency tier
Heavy
Price tier
Mid-range
Source coverage
OpenRouter

Decision Strip

Decision rail before the raw tables

Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.

Intelligence
N/A
44

General reasoning and benchmark headroom.

Situational
Speed
N/A
46

Latency data is partial.

Situational
Context
131K Tokens
76

How much prompt and task state can stay in view.

Competitive
Price
$3.00
62

$15.00 output / 1M

Competitive

Editorial Profile

xAI: Grok 3 Beta in one narrative

Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.

Use-case specificCoding score 40Math score 36

Grok 3 is the latest model from xAI. It's their flagship model that excels at enterprise use cases like data extraction, coding, and text summarization. Possesses deep domain knowledge in finance, healthcare, law, and science. Excels in structured tasks and benchmarks like GPQA, LCB, and MMLU-Pro where it outperforms Grok 3 Mini even on high thinking. Note: That there are two xAI endpoints for this model. By default when using this model we will always route you to the base endpoint. If you want the fast endpoint you can add `provider: { sort: throughput}`, to sort by throughput instead.

Identity

x-ai text-first profile

Positioning

Long-context research / Reasoning with extended context and heavy runtime.

Cost posture

Balanced spend profile. Easier to justify in mixed production and exploration workloads.

Strengths
  • Large context headroom supports repo-wide prompts and long research sessions.

Tradeoffs
  • Costs look manageable, but still deserve attention in always-on agents or batch jobs.

  • Latency profile is better for deliberate runs than rapid back-and-forth chat.

  • Current metadata points to a text-first profile rather than a broad multimodal one.

Best fit
  • Long-context summarization, repo analysis, and policy or document review.

Compare Next

Similar profiles worth opening next

x-ai

xAI: Grok 4

Intelligence
41.5
Context
256K Tokens
Input Price
$3.00
x-ai

xAI: Grok Code Fast 1

Intelligence
28.7
Context
256K Tokens
Input Price
$0.20
x-ai

xAI: Grok 3

Intelligence
25.2
Context
131K Tokens
Input Price
$3.00

Benchmarks

Grouped by job-to-be-done

Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.

No benchmark data is available for this model yet.

Specs & Pricing

Technical snapshot and cost posture

Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.

Technical snapshot
Context Window
131K Tokens
Vision
Text-first
Modalities
text->text, text
Tokenizer
Grok
Moderation
No
Supported Parameters
frequency_penaltylogprobsmax_tokenspresence_penaltyresponse_formatseedstoptemperaturetool_choicetoolstop_logprobstop_p
Input Modalities
text
Output Modalities
text
Price architecture
Input
per 1M input tokens
$3.00
Output
per 1M output tokens
$15.00
Blended
AA 3:1 mix
N/A

This model sits in a balanced spend range. It is easier to justify across both production and exploratory workflows.

OR Web Search Price
$0.0050
OR Cache Read
$0.00

Metadata

Raw source tables at the end

Verification details remain available, but the page no longer forces them ahead of the editorial read.