grok-2-vision-latest
xai · chat model
grok-2-vision-latest 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
$10.0000 / 1M tokens
Cached input
N/A
Context
32.8K
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 | $10.0000 / 1M tokens |
| Image input | $2.0000 / 1M tokens |
| Embedding | $2.0000 / 1M tokens |
Token limits
Context window
32.8K
Max input tokens
32.8K
Max output tokens
32.8K
Max tokens
32.8K
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 |
|---|---|---|---|---|---|
| GPQA | 56.0% | accuracy | Base model: grok-2 (Grok-2) | 2026-05-31 | Link |
| MMLU | 87.5% | accuracy | Base model: grok-2 (Grok-2) | 2026-05-31 | Link |
| MMLU-Pro | 75.5% | accuracy | Base model: grok-2 (Grok-2) | 2026-05-31 | Link |
| MATH | 76.1% | accuracy | Base model: grok-2 (Grok-2) | 2026-05-31 | Link |
| HumanEval | 88.4% | pass@1 | Base model: grok-2 (Grok-2) | 2026-05-31 | Link |
| MMMU | 66.1% | accuracy | Base model: grok-2 (Grok-2) | 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-2-vision-latest xai | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceWeb search | 32.8K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| grok-2-vision xai | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceWeb search | 32.8K | Same provider Overall 100% |
| grok-2-vision-1212 xai | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceWeb search | 32.8K | Same provider Overall 100% |
| grok-2-vision vercel_ai_gateway | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 32.8K | Text + image covered Overall 94% |
| gpt-4.1 vercel_ai_gateway | In $2.0000 / 1M tokens Out $8.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 32.8K | Text + image covered Overall 88% |
| v0-1.5-md vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 32.8K | Text + image covered Overall 87% |
| v0-1.0-md vercel_ai_gateway | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 32.0K | Text + image covered Overall 87% |
| grok-4.20-0309-reasoning xai | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceWeb search | 2.0M | Same provider Overall 76% |
| grok-4.20-beta-0309-non-reasoning xai | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceWeb search | 2.0M | Same provider Overall 76% |
| grok-4.20-multi-agent-beta-0309 xai | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceWeb search | 2.0M | Same provider Overall 73% |
| grok-4.20-beta-0309-reasoning xai | In $2.0000 / 1M tokens Out $6.0000 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choiceWeb search | 2.0M | Same provider Overall 73% |
| Llama-3.2-90B-Vision-Instruct azure_ai | In $2.0400 / 1M tokens Out $2.0400 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 2.0K | Text + image covered Overall 71% |
| grok-2 xai | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | Function callingTool choiceWeb search | 131.1K | Same provider Overall 71% Missing image |
| grok-2-1212 xai | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | Function callingTool choiceWeb search | 131.1K | Same provider Overall 71% Missing image |
| grok-2-latest xai | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | Function callingTool choiceWeb search | 131.1K | Same provider Overall 71% Missing image |
| grok-2 vercel_ai_gateway | In $2.0000 / 1M tokens Out $10.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 4.0K | Partial I/O overlap Overall 62% Missing image |
| Llama-3.2-11B-Vision-Instruct azure_ai | In $0.3700 / 1M tokens Out $0.3700 / 1M tokens | imagetext
Output: text | VisionFunction callingTool choice | 2.0K | Text + image covered Overall 62% |
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