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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.

Input
$0.1500 / 1M tokens
Output
$0.0375 / 1M tokens
Cached input
N/A
Context
4.1K

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

Context window
4.1K
Max input tokens
128.0K
Max output tokens
4.1K
Max tokens
4.1K

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 65.2 accuracy Base model: command-r7b (Command R7B) 2026-05-31 Link
GPQA 26.3 accuracy Base model: command-r7b (Command R7B) 2026-05-31 Link
BFCL 52.2 score Base model: command-r7b (Command R7B) 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
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

Overall blends cost, modality overlap, capabilities, and context.

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%
Mistral-Nemo-Instruct-2407
deepinfra
In $0.0200 / 1M tokens
Out $0.0400 / 1M tokens
text
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%