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grok-4.20-beta-0309-reasoning

xai · chat model

grok-4.20-beta-0309-reasoning is listed here as a chat model from xai. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$2.0000 / 1M tokens
Output
$6.0000 / 1M tokens
Cached input
$0.2000 / 1M tokens
Context
2.0M

Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Pricing

Item Price
Input
$2.0000 / 1M tokens
Output
$6.0000 / 1M tokens
Cached input
$0.2000 / 1M tokens
Embedding
$2.0000 / 1M tokens

Token limits

Context window
2.0M
Max input tokens
2.0M
Max output tokens
2.0M
Max tokens
2.0M

Capabilities

Capability Supported
Vision
Function calling
Parallel function calling
Tool choice
Prompt caching
Reasoning
Response schema
System messages
Audio input
Audio output
Web search
PDF input
Video input

Benchmarks

Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer

Benchmark Score Metric Scope Checked Source
ARC-AGI-2 15.9% accuracy Base model: grok-4 (Grok 4) 2026-05-31 Link
Vending-Bench $4694.15 net worth net worth Base model: grok-4 (Grok 4) 2026-05-31 Link
Humanity's Last Exam 50.7% (text-only subset) accuracy Base model: grok-4 (Grok 4 Heavy) 2026-05-31 Link
USAMO'25 61.9% accuracy Base model: grok-4 (Grok 4 Heavy) 2026-05-31 Link

Sources

Source links
Pricing data LiteLLM model cost map
Synced at 2026-05-28

Docs

Official docs

Similar models

This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.

Comparing from
Model Cost Input shape Features Context Why it is close
grok-4.20-beta-0309-reasoning
xai
In $2.0000 / 1M tokens
Out $6.0000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choicePrompt caching
2.0M
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
grok-4.20-multi-agent-beta-0309
xai
In $2.0000 / 1M tokens
Out $6.0000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choicePrompt caching
2.0M
Same provider
Overall 100%
grok-4.20-0309-reasoning
xai
In $2.0000 / 1M tokens
Out $6.0000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choiceReasoning
2.0M
Same provider
Overall 96%
grok-4.20-beta-0309-non-reasoning
xai
In $2.0000 / 1M tokens
Out $6.0000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choicePrompt caching
2.0M
Same provider
Overall 96%
o3
OpenAI
In $2.0000 / 1M tokens
Out $8.0000 / 1M tokens
imagetext pdf
Output: text
VisionFunction callingTool choicePrompt caching
100.0K
Text + image covered
Overall 77%
o3-2025-04-16
OpenAI
In $2.0000 / 1M tokens
Out $8.0000 / 1M tokens
imagetext pdf
Output: text
VisionFunction callingTool choicePrompt caching
100.0K
Text + image covered
Overall 77%
grok-4-1-fast
xai
In $0.2000 / 1M tokens
Out $0.5000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choicePrompt caching
2.0M
Same provider
Overall 76%
grok-4-1-fast-reasoning
xai
In $0.2000 / 1M tokens
Out $0.5000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choicePrompt caching
2.0M
Same provider
Overall 76%
grok-4-1-fast-reasoning-latest
xai
In $0.2000 / 1M tokens
Out $0.5000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choicePrompt caching
2.0M
Same provider
Overall 76%
gpt-5.1-codex-max
OpenRouter
In $1.2500 / 1M tokens
Out $10.0000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choicePrompt caching
128.0K
Text + image covered
Overall 74%
pixtral-large-2411
Mistral
In $2.0000 / 1M tokens
Out $6.0000 / 1M tokens
imagetext
Output: text
VisionFunction callingTool choice
128.0K
Text + image covered
Overall 72%
gpt-5.2
OpenRouter
In $1.7500 / 1M tokens
Out $14.0000 / 1M tokens
imagetext file
Output: text
VisionFunction callingTool choicePrompt caching
128.0K
Text + image covered
Overall 66%
mistral-large-2407
azure_ai
In $2.0000 / 1M tokens
Out $6.0000 / 1M tokens
imagetext
Output: text
Function callingTool choice
4.1K
Partial I/O overlap
Overall 56%
Missing image
mistral-large-latest
azure_ai
In $2.0000 / 1M tokens
Out $6.0000 / 1M tokens
imagetext
Output: text
Function callingTool choice
4.1K
Partial I/O overlap
Overall 56%
Missing image
eu.mistral.pixtral-large-2502-v1:0
bedrock_converse
In $2.0000 / 1M tokens
Out $6.0000 / 1M tokens
imagetext
Output: image, text
Function calling
4.1K
Text + image covered
Overall 56%
mistral-large-2411
Mistral
In $2.0000 / 1M tokens
Out $6.0000 / 1M tokens
imagetext
Output: text
Function callingTool choice
128.0K
Partial I/O overlap
Overall 56%
Missing image
open-mixtral-8x22b
Mistral
In $2.0000 / 1M tokens
Out $6.0000 / 1M tokens
imagetext
Output: text
Function callingTool choice
8.2K
Partial I/O overlap
Overall 55%
Missing image