Model profile
xAI
New in 2026

Grok 4.20 Beta 0309 (Non-reasoning)

Grok 4.20 Beta 0309 (Non-reasoning) is a mid-range text-first model from xAI with a fast runtime profile, unknown context posture, and the clearest fit around coding / agent workflows.

Best for: Coding / Agent workflowsFast latencyUnknown contextMid-range pricing
Intelligence
29.7

Benchmark blend

Coding
N/A

Dev workflow signal

Context
N/A

Unknown

Input Price
$2.00

Mid-range tier

Decision snapshot
50

Grok 4.20 Beta 0309 (Non-reasoning) currently reads as a mid-range text-first option with unknown context and a fast runtime profile.

Overall profile
Use-case specific
Best for
Coding / Agent workflows
Latency tier
Fast
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
29.7
30

General reasoning and benchmark headroom.

Limited
Speed
257 tok/s
100

TTFT 0.35s

Above average
Context
N/A
34

How much prompt and task state can stay in view.

Limited
Price
$2.00
62

$6.00 output / 1M

Competitive

Editorial Profile

Grok 4.20 Beta 0309 (Non-reasoning) 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

The Grok 4.20 Beta 0309 (Non-reasoning) AI model by xAI.

Identity

xAI text-first profile

Positioning

Coding / Agent workflows with unknown context and fast runtime.

Cost posture

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

Strengths
  • 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
  • Focused chat, retrieval-augmented flows, and narrower production tasks.

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Input Price
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Context
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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
29.7
GPQA
78.5%

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
N/A
Vision
Text-first
Price architecture
Input
per 1M input tokens
$2.00
Output
per 1M output tokens
$6.00
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.