Model profile
x-ai

xAI: Grok 3

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

Best for: Long-context research / Agent workflowsFast latencyExtended contextMid-range pricing
Intelligence
25.2

Benchmark blend

Coding
19.8

Dev workflow signal

Context
131K Tokens

Extended

Input Price
$3.00

Mid-range tier

Decision snapshot
47

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

Overall profile
Use-case specific
Best for
Long-context research / Agent workflows
Latency tier
Fast
Price tier
Mid-range
Source coverage
OpenRouterArtificial Analysis

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
25.2
25

General reasoning and benchmark headroom.

Limited
Speed
76 tok/s
76

TTFT 0.39s

Competitive
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 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 20Math score 58

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.

Identity

x-ai text-first profile

Positioning

Long-context research / Agent workflows with extended context and fast 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.

  • Latency and throughput look responsive enough for interactive loops.

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

  • 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.

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Intelligence
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Context
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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.

General intelligence

Broad reasoning, knowledge depth, and flagship benchmark posture.

Intelligence Index
25.2
MMLU Pro
79.9%
GPQA
69.3%
HLE
5.1%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
19.8
LiveCodeBench
0.425
SciCode
36.8%
Math

Formal reasoning, structured problem solving, and competition-style math.

Math Index
58.0
AIME
33.0%
AIME 2025
58.0%
Math 500
87.0%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

IFBench
46.9%
TAU2
48.8%
TerminalBench Hard
11.4%
LCR
54.7%

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_formatseedstopstructured_outputstemperaturetool_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
$6.00

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.