Model profile
xAI

xAI: Grok 4.20

xAI: Grok 4.20 is a mid-range-priced multimodal generalist from xAI with heavy runtime profile, large context posture, and the clearest fit around long-context research / multimodal.

Best for: Long-context research / MultimodalHeavy latencyLarge contextMid-range pricing
Intelligence
49.3

Benchmark blend

Coding
40.5

Dev workflow signal

Context
2000K Tokens

Large

Input Price
$2.00

Mid-range tier

Decision snapshot
58

xAI: Grok 4.20 currently reads as a mid-range multimodal option with large context and a heavy runtime profile.

Overall profile
Selective fit
Best for
Long-context research / Multimodal
Latency tier
Heavy
Price tier
Mid-range
Source coverage
OpenRouterArtificial AnalysisVision signal

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
49.3
49

General reasoning and benchmark headroom.

Situational
Speed
192 tok/s
50

TTFT 10.96s

Situational
Context
2000K Tokens
100

How much prompt and task state can stay in view.

Above average
Price
$2.00
62

$6.00 output / 1M

Competitive

Editorial Profile

xAI: Grok 4.20 in one narrative

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

Selective fitCoding score 41Math score N/AVision enabled

Grok 4.20 is xAI's newest flagship model with industry-leading speed and agentic tool calling capabilities. It combines the lowest hallucination rate on the market with strict prompt adherance, delivering consistently...

Identity

xAI multimodal profile

Positioning

Long-context research / Multimodal with large 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.

  • Vision-capable routing opens up multimodal review and extraction workflows.

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.

Best fit
  • Image-grounded review, multimodal extraction, and UI audit workflows.

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

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Context
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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
49.3
GPQA
91.1%
HLE
32.2%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
40.5
SciCode
45.6%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

IFBench
81.2%
TAU2
93.0%
TerminalBench Hard
37.9%
LCR
58.0%

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
2000K Tokens
Vision
Enabled
Modalities
file, image, text
Tokenizer
Grok
Moderation
No
Supported Parameters
include_reasoninglogprobsmax_tokensreasoningresponse_formatseedstructured_outputstemperaturetool_choicetoolstop_logprobstop_p
Input Modalities
fileimagetext
Output Modalities
text
Price architecture
Input
per 1M input tokens
$2.00
Output
per 1M output tokens
$6.00
Blended
AA 3:1 mix
$3.00

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.