cohere.command-a-vision-07-2025
oci · chat model
cohere.command-a-vision-07-2025 is listed here as a chat model from oci. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$1.5600 / 1M tokens
Output
$1.5600 / 1M tokens
Cached input
N/A
Context
4.0K
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 | $1.5600 / 1M tokens |
| Output | $1.5600 / 1M tokens |
| Embedding | $1.5600 / 1M tokens |
Token limits
Context window
4.0K
Max input tokens
128.0K
Max output tokens
4.0K
Max tokens
4.0K
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 |
|---|---|---|---|---|---|
| MMLU | 85.5 | accuracy | Base model: command-a (Command A) | 2026-05-31 | Link |
| MMLU-Pro | 69.6 | accuracy | Base model: command-a (Command A) | 2026-05-31 | Link |
| GPQA | 50.8 | accuracy | Base model: command-a (Command A) | 2026-05-31 | Link |
| IFEval | 90.9 | strict accuracy | Base model: command-a (Command A) | 2026-05-31 | Link |
| BFCL | 63.8 | score | Base model: command-a (Command A) | 2026-05-31 | Link |
| Taubench Retail | P@1 60.0 | pass@1 | Base model: command-a (Command A) | 2026-05-31 | Link |
| Taubench Airline | P@1 45.3 | pass@1 | Base model: command-a (Command A) | 2026-05-31 | Link |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
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 |
|---|---|---|---|---|---|
| cohere.command-a-vision-07-2025 oci | In $1.5600 / 1M tokens Out $1.5600 / 1M tokens |
Output: unknown | VisionFunction calling | 4.0K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| meta.llama-3.2-90b-vision-instruct oci | In $2.0000 / 1M tokens Out $2.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 4.0K | Same provider Overall 56% |
| meta.llama-3.2-11b-vision-instruct oci | In $2.0000 / 1M tokens Out $2.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 4.0K | Same provider Overall 56% |
| meta.llama3-2-90b-instruct-v1:0 Bedrock | In $2.0000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: text | VisionFunction calling | 4.1K | Partial I/O overlap Overall 55% |
| us.meta.llama3-2-90b-instruct-v1:0 Bedrock | In $2.0000 / 1M tokens Out $2.0000 / 1M tokens | imagetext
Output: text | VisionFunction calling | 4.1K | Partial I/O overlap Overall 55% |
| cohere.command-latest oci | In $1.5600 / 1M tokens Out $1.5600 / 1M tokens |
Output: unknown | Function calling | 4.0K | Same provider Overall 48% |
| cohere.command-a-03-2025 oci | In $1.5600 / 1M tokens Out $1.5600 / 1M tokens |
Output: unknown | Function calling | 4.0K | Same provider Overall 48% |
| cohere.command-plus-latest oci | In $1.5600 / 1M tokens Out $1.5600 / 1M tokens |
Output: unknown | Function calling | 4.0K | Same provider Overall 48% |
| cohere.command-a-reasoning-08-2025 oci | In $1.5600 / 1M tokens Out $1.5600 / 1M tokens |
Output: unknown | Function calling | 4.0K | Same provider Overall 48% |
| cohere.command-r-plus-08-2024 oci | In $1.5600 / 1M tokens Out $1.5600 / 1M tokens |
Output: unknown | Function calling | 4.0K | Same provider Overall 48% |
| gpt-4o gmi | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 16.4K | Partial I/O overlap Overall 36% |
| gemini-3-flash-preview gmi | In $0.5000 / 1M tokens Out $3.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 65.5K | Partial I/O overlap Overall 35% |
| gemini-3-pro-preview gmi | In $2.0000 / 1M tokens Out $12.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 65.5K | Partial I/O overlap Overall 34% |
| gpt-4o-mini gmi | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | VisionFunction calling | 16.4K | Partial I/O overlap Overall 34% |
| claude-sonnet-4.5 gmi | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 32.0K | Partial I/O overlap Overall 33% |
| claude-sonnet-4 gmi | In $3.0000 / 1M tokens Out $15.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 32.0K | Partial I/O overlap Overall 33% |
| claude-opus-4.5 gmi | In $5.0000 / 1M tokens Out $25.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 32.0K | Partial I/O overlap Overall 30% |
| claude-opus-4 gmi | In $15.0000 / 1M tokens Out $75.0000 / 1M tokens |
Output: unknown | VisionFunction calling | 32.0K | Partial I/O overlap Overall 28% |
| DeepSeek-V3-0324 crusoe | In $1.5000 / 1M tokens Out $1.5000 / 1M tokens |
Output: unknown | Function calling | 163.8K | Partial I/O overlap Overall 25% |
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