Model comparison · Updated 10 Oct 2026
Command R7B (12-2024) vs gpt-oss-120b
gpt-oss-120b is about 1.3× cheaper on input ($0.03 against $0.04 per 1M tokens). gpt-oss-120b has the larger context window (131K against 128K tokens). For a support chatbot at 10,000 chats a day, the standard-tier bill is about $30.38 a month for Command R7B (12-2024) and $27.00 for gpt-oss-120b.
Cite
Cite this page
ModelsAtlas. “Command R7B (12-2024) vs gpt-oss-120b”. Retrieved 10 Oct 2026. https://modelsatlas.com/compare/cohere/command-r7b-12/vs/openai/gpt-oss-120b
Model A
by Cohere · weights not marked open · GRIDB2
$0.04
- 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 R7B (12-2024) gpt-oss-120b · 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)
1 square apart. gpt-oss-120b (B3) sits 1 context band larger than Command R7B (12-2024) (B2).
Same square as Command R7B (12-2024): Llama 3.2 1B Instruct ($0.03), Mistral Small 3 ($0.05). Same square as gpt-oss-120b: gpt-oss-20b ($0.02), Mistral Nemo ($0.03), Gemma 3 12B ($0.05). Open B2 · Open B3
View the map as a table (2 squares)
| Square | Price band | Context band | Models |
|---|---|---|---|
| GRIDB2 | <$0.10 | 32–128K | Command R7B (12-2024), Mistral Small 3, Llama 3.2 1B Instruct |
| GRIDB3 | <$0.10 | 128–256K | gpt-oss-120b, Mistral Nemo, Gemma 3 12B, Gemma 3 4B, Llama 3.1 8B Instruct, Llama 3.2 3B Instruct, gpt-oss-20b |
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 R7B (12-2024) if…
Nothing in the recorded numbers favours Command R7B (12-2024) over gpt-oss-120b. Pick it for what our records do not cover — your own tests, or an account you already have with Cohere.
Choose gpt-oss-120b if…
- you pay by the token: it costs $0.03 per 1M input against $0.04
- your prompts are long: it takes 131,072 tokens against 128,000
- work can wait: it lists a batch tier and the other does not
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 R7B (12-2024) better than gpt-oss-120b?
Which is cheaper, Command R7B (12-2024) or gpt-oss-120b?
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 R7B (12-2024)
By Cohere. $0.04 input and $0.15 output per 1M tokens, 128K context, atlas square B2. Tiers listed: standard.
Full specs & pricing →gpt-oss-120b
By OpenAI. $0.03 input and $0.15 output per 1M tokens, 131K context, atlas square B3. Tiers listed: batch, standard.
Full specs & pricing →Compare Command R7B (12-2024) with…
- Mistral Small 3$0.05
- Llama 3.2 1B Instruct$0.03
- Mistral Nemo$0.03
- Gemma 3 12B$0.05
- All alternatives →
Compare gpt-oss-120b with…
- Mistral Nemo$0.03
- Gemma 3 12B$0.05
- Gemma 3 4B$0.05
- Llama 3.1 8B Instruct$0.05
- All alternatives →
Keep going in your AI
Opens with this page as the source. We add nothing else to the prompt.
- Is Command R7B (12-2024) better than gpt-oss-120b?
- Which is cheaper, Command R7B (12-2024) or gpt-oss-120b?
- How much does each cost per 1M tokens?