Grok 4.3 is xAI’s frontier language model, designed for developers building reasoning-heavy applications, agentic workflows, and long-context systems. It is a balanced choice for general-purpose tasks where tool integration and structured outputs are required.
Modalities
Text+Image → Text
Below release
Not established
Weights
Not published
Where it sits in the catalogue Kyma measures
Every number against every text model Kyma prices per token — a stated rule, not a chosen line-up.
$1.92
output $3.838 · cached $0.27
median $1.013 · best $0.0494
$3.838
per 1M tokens generated
median $3.531 · best $0.218
93.18%
44 observations since 2026-05-24
median 96.5% · best 100.0%
73 tok/s
probe median, one fixed prompt
median 36.0 tok/s · best 363.2 tok/s
2.67 s
probe median, to a complete answer
median 2.67 s · best 0.83 s
1M
max output 32,768
published by xAI, not measured here
Tick above each rail is this model, below it the other 70. Dashed rule is the field median, solid is its best. Better is left; the axis stops at the 90th percentile, so a few models sit past its right edge.
Usage
How much this model is actually called here.
Rank
#39
of 100 active models
Tokens served
4.5M
all-time
Platform share
0.1%
of all tokens
Pricing
Pay per token. Cached input bills at this model’s own cached rate, listed below.
+ Estimate your workload− Estimate your workload
Estimated monthly cost
$143
$4.77 / day on Grok 4.3
Same workload on:
Estimates use list pricing with cached input at this model's own cached rate. Actual bills depend on real token counts, and every response includes its exact cost.
When to use Grok 4.3
Where this model earns its cost — and where it doesn't.
Grok 4.3 is a text-only language model from xAI that supports a 1,000,000-token context window and a maximum output of 32,768 tokens. It is optimized for reasoning, tool use, and structured output generation, making it suitable for chat interfaces, code generation, and autonomous agent pipelines.
On Kyma, the model runs through an OpenAI-compatible endpoint with automatic request failover and exact cost reporting in the usage.cost field. Prompt caching is supported, reducing repeated prefix costs to this model's cached input rate.
The model does not support vision or multimodal inputs, and its output length is capped at 32,768 tokens. It operates at a medium speed tier, which may introduce latency in high-throughput streaming applications compared to lighter models.
Agentic Workflow Orchestration
Leverages built-in tool calling and reasoning to coordinate multi-step autonomous tasks.
Long Context Document Analysis
Processes up to one million tokens to summarize or query extensive text corpora.
Code Generation and Review
Generates and refines code snippets while maintaining structured output formats.
General Purpose Chat Interfaces
Handles conversational turn-taking with reliable reasoning and balanced latency.
Not ideal for: It is not suitable for applications requiring image or video understanding, or for workloads that demand high-throughput streaming speeds.
How it compares
Against the peers people actually weigh it against.
Quick start
Up and running in under two minutes.
- 1
Create an API key
Sign up and grab a key from the dashboard. Grok 4.3 needs a top-up — the signup credit covers the free tier.
Get API key → - 2
Make your first request
Drop in your key and send a chat completion — fully OpenAI-compatible.
curl https://kymaapi.com/v1/chat/completions \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "grok-4.3", "messages": [ {"role": "user", "content": "Explain prompt caching in one paragraph."} ] }' - 3
Stream responses
Add
"stream": trueto receive tokens as they arrive.curl https://kymaapi.com/v1/chat/completions \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "grok-4.3", "stream": true, "messages": [{"role": "user", "content": "Hello!"}] }'
FAQ
Common questions about this model.
What is the context window of Grok 4.3?
How much does the Grok 4.3 API cost?
Does Grok 4.3 support function calling?
Are the weights for Grok 4.3 publicly available?
Is Grok 4.3 ever served below the precision its creator released it at?
How do I use Grok 4.3?
Does Grok 4.3 support image inputs?
How does prompt caching work on Kyma for this model?
What happens if the serving path experiences degradation?
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