command-r7b-12-2024
cohere_chat · chat model
command-r7b-12-2024 is listed here as a chat model from cohere_chat. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
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 | $0.1500 / 1M tokens |
| Output | $0.0375 / 1M tokens |
| Embedding | $0.1500 / 1M tokens |
Token limits
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
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.
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| command-r7b-12-2024 cohere_chat | In $0.1500 / 1M tokens Out $0.0375 / 1M tokens |
Output: unknown | Function callingTool choice | 4.1K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| ministral-3b azure_ai | In $0.0400 / 1M tokens Out $0.0400 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 53% |
| ministral-3b vercel_ai_gateway | In $0.0400 / 1M tokens Out $0.0400 / 1M tokens | text
Output: text | Function callingTool choice | 4.0K | Partial I/O overlap Overall 52% |
| command-r cohere_chat | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | Function callingTool choice | 4.1K | Same provider Overall 50% |
| command-r-08-2024 cohere_chat | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | Function callingTool choice | 4.1K | Same provider Overall 50% |
| command-r vercel_ai_gateway | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 50% |
| MythoMax-L2-13b deepinfra | In $0.0800 / 1M tokens Out $0.0900 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 49% |
| gpt-3.5-turbo Azure | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 43% |
| gpt-35-turbo Azure | In $0.5000 / 1M tokens Out $1.5000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 43% |
| command-r-plus cohere_chat | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 4.1K | Same provider Overall 41% |
| command-r-plus-08-2024 cohere_chat | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 4.1K | Same provider Overall 41% |
| gpt-35-turbo-16k-0613 Azure | In $3.0000 / 1M tokens Out $4.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 41% |
| gpt-4 Azure | In $30.0000 / 1M tokens Out $60.0000 / 1M tokens | imagetext
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 40% |
| gpt-4-0613 Azure | In $30.0000 / 1M tokens Out $60.0000 / 1M tokens | text
Output: text | Function callingTool choice | 4.1K | Partial I/O overlap Overall 40% |
| mistral-nemo@latest vertex_ai-mistral_models | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens |
Output: unknown | Function callingTool choice | 128.0K | Partial I/O overlap Overall 37% |
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Output: text | Function callingTool choice | 131.1K | Partial I/O overlap Overall 37% |
| llama3.1-8b cerebras | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens |
Output: unknown | Function callingTool choice | 128.0K | Partial I/O overlap Overall 36% |
| glm-4-32b-0414-128k zai | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens |
Output: unknown | Function callingTool choice | N/A | Partial I/O overlap Overall 35% |
| Llama-3.3-70B-Instruct azure_ai | In $0.7100 / 1M tokens Out $0.7100 / 1M tokens | text
Output: text | Function callingTool choice | 2.0K | Partial I/O overlap Overall 35% |
| command-a-03-2025 cohere_chat | In $2.5000 / 1M tokens Out $10.0000 / 1M tokens |
Output: unknown | Function callingTool choice | 8.0K | Same provider Overall 33% |
| command-light cohere_chat | In $0.3000 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | Tool choice | 4.1K | Same provider Overall 33% |
| cohere.command-a-translate-08-2025 oci | In $0.0900 / 1M tokens Out $0.0900 / 1M tokens |
Output: unknown | Low overlap | 4.0K | Partial I/O overlap Overall 25% |
| DeepSeek-R1-Distill-Qwen-1.5B nscale | In $0.0900 / 1M tokens Out $0.0900 / 1M tokens |
Output: unknown | Low overlap | N/A | Partial I/O overlap Overall 10% |
| codestral-embed vercel_ai_gateway | In $0.1500 / 1M tokens Out N/A | text
Output: embedding | Low overlap | 0 | Partial I/O overlap Overall 9% |
| model_router azure_ai | In $0.1400 / 1M tokens Out N/A | imagetext
Output: text | Low overlap | N/A | Partial I/O overlap Overall 8% |
| embed-v4.0 vercel_ai_gateway | In $0.1200 / 1M tokens Out N/A | imagepdf
Output: embedding | Low overlap | 0 | Partial I/O overlap Overall 7% |
| mistral-embed vercel_ai_gateway | In $0.1000 / 1M tokens Out N/A | text
Output: embedding | Low overlap | 0 | Partial I/O overlap Overall 6% |
No models match this filter.