Model comparison · Updated 1 Sep 2026
Command R (08-2024) vs Voxtral Small 24B 2507
Voxtral Small 24B 2507 is about 1.5× cheaper on input ($0.10 against $0.15 per 1M tokens) and on output. Command R (08-2024) has the larger context window (128K against 33K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $122 a month for Command R (08-2024) and $72.00 for Voxtral Small 24B 2507.
Cite
Cite this page
ModelsAtlas. “Command R (08-2024) vs Voxtral Small 24B 2507”. Retrieved 1 Sep 2026. https://modelsatlas.com/compare/cohere/command-r-08/vs/mistralai/voxtral-small-24b
Model A
by Cohere · weights not marked open · GRIDC2
$0.15
- Source
- Our catalogue
- Retrieved
- 17 Aug 2026
Model B
by Mistral AI · weights not marked open · GRIDC2
$0.10
- Source
- Our catalogue
- Retrieved
- 17 Aug 2026
Key numbers
Standard tier · highlighted = better
What it costs for real workloads
Monthly, standard tier, 30 days
Command R (08-2024) Voxtral Small 24B 2507 · Derived from the standard-tier prices above, input and output tokens per request as stated, 30 days. Excludes caching discounts and batch. Try your own numbers.
On the atlas
Price band (A–H) × context band (1–6)
Same square. Command R (08-2024) and Voxtral Small 24B 2507 share C2.
Same square as Command R (08-2024): Qwen2.5 7B Instruct ($0.10), Qwen3 14B ($0.12), Qwen3 30B A3B ($0.12). Open C2
View the map as a table (1 squares)
| Square | Price band | Context band | Models |
|---|---|---|---|
| GRIDC2 | $0.10–0.30 | 32–128K | Command R (08-2024), Voxtral Small 24B 2507, Qwen3 14B, Qwen3 30B A3B, Saba, Qwen2.5 7B Instruct, Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) |
Capabilities side by side
Only what our records list
Neither record lists input types, so we do not claim any.
Which should you choose?
EditorialChoose Command R (08-2024) if…
- your prompts are long: it takes 128,000 tokens against 32,768
Choose Voxtral Small 24B 2507 if…
- you pay by the token: it costs $0.10 per 1M input against $0.15
- output dominates your bill: $0.30 per 1M output against $0.60
Each reason is a fact from the tables above. Picking between them is our judgement, and we do not benchmark quality: price and context are what we can measure, so test both on your own prompts before you commit.
Questions
Is Command R (08-2024) better than Voxtral Small 24B 2507?
Which is cheaper, Command R (08-2024) or Voxtral Small 24B 2507?
How much does each cost per 1M tokens?
Which has the larger context window?
Do both offer batch pricing?
Can both read images or audio?
Is either model open-weight?
What would each cost for a support chatbot?
About the two models
Command R (08-2024)
By Cohere. $0.15 input and $0.60 output per 1M tokens, 128K context, atlas square C2. Tiers listed: standard.
Full specs & pricing →Voxtral Small 24B 2507
By Mistral AI. $0.10 input and $0.30 output per 1M tokens, 33K context, atlas square C2. Tiers listed: standard.
Full specs & pricing →Compare Command R (08-2024) with…
- Qwen3 14B$0.12
- Qwen3 30B A3B$0.12
- Saba$0.20
- Qwen2.5 7B Instruct$0.10
- All alternatives →
Compare Voxtral Small 24B 2507 with…
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- Is Command R (08-2024) better than Voxtral Small 24B 2507?
- Which is cheaper, Command R (08-2024) or Voxtral Small 24B 2507?
- How much does each cost per 1M tokens?