What this model supports
ReasoningYes
Tool callingYes
Structured outputYes
AttachmentsYes
Temperature controlYes
Open weightsNo
- Creator
- xAI
- Family
- grok
- Modalities
- Image, Text
- License
- Not documented
- Release date
- 2026-07-08
- Model ID
xai/grok-4.5
Grok 4.5
xai/grok-4.5xAI's latest Grok for chat, coding, agentic tools, and lower hallucination risk
Source-linkedgrokClosed weightsReleased 2026-07-08
Context window500K
Maximum output500K
Provider offers7
Knowledge cutoffUndisclosed
Market availability
Report price →Provider pricing
| Provider | Provider model ID | Context | Input / 1M | Output / 1M | Cached / 1M | Features | All pricing |
|---|---|---|---|---|---|---|---|
 xAI | grok-4.5 | 500K | $2.000 | $6.000 | $0.500 | R T S | View{
"cache_read": 0.5,
"context_over_200k": {
"cache_read": 1,
"input": 4,
"output": 12
},
"input": 2,
"output": 6,
"tiers": [
{
"cache_read": 1,
"input": 4,
"output": 12,
"tier": {
"size": 200000,
"type": "context"
}
}
]
} |
 OpenCode Zen | grok-4.5 | 500K | $2.000 | $6.000 | $0.500 | R T S | View{
"cache_read": 0.5,
"context_over_200k": {
"cache_read": 1,
"input": 4,
"output": 12
},
"input": 2,
"output": 6,
"tiers": [
{
"cache_read": 1,
"input": 4,
"output": 12,
"tier": {
"size": 200000,
"type": "context"
}
}
]
} |
 OpenRouter | x-ai/grok-4.5 | 500K | $2.000 | $6.000 | $0.500 | R T S | View{
"cache_read": 0.5,
"context_over_200k": {
"cache_read": 1,
"input": 4,
"output": 12
},
"input": 2,
"output": 6,
"tiers": [
{
"cache_read": 1,
"input": 4,
"output": 12,
"tier": {
"size": 200000,
"type": "context"
}
}
]
} |
 Vercel AI Gateway | xai/grok-4.5 | 500K | $2.000 | $6.000 | $0.500 | R T S | View{
"cache_read": 0.5,
"input": 2,
"output": 6
} |
 LLM Gateway | grok-4-5 | 500K | $2.000 | $6.000 | $0.500 | R T · | View{
"cache_read": 0.5,
"input": 2,
"output": 6
} |
 Abacus | grok-4.5 | 500K | $2.000 | $6.000 | — | R T S | View{
"input": 2,
"output": 6
} |
 Venice AI | grok-4-5 | 500K | $2.270 | $6.800 | $0.570 | R T S | View{
"cache_read": 0.57,
"context_over_200k": {
"cache_read": 1.13,
"input": 4.53,
"output": 13.6
},
"input": 2.27,
"output": 6.8,
"tiers": [
{
"cache_read": 1.13,
"input": 4.53,
"output": 13.6,
"tier": {
"size": 200000,
"type": "context"
}
}
]
} |
Published benchmark results
DeepSWE
vs top 5 models
SWE-Bench Multilingual
vs top 7 models
SWE-Bench Pro
vs top 7 models
Terminal-Bench
vs top 7 models