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.

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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

Command R7B (12-2024)

by Cohere · weights not marked open · GRIDB2

Input / 1M
$0.04
observed We measured
Source
Our catalogue
Retrieved
17 Aug 2026
Output / 1M$0.15
Context128K
vs

Model B

gpt-oss-120b

by OpenAI · weights not marked open · GRIDB3

Input / 1M
$0.03
observed We measured
Source
Our catalogue
Retrieved
10 Oct 2026
Output / 1M$0.15
Context131K

Key numbers

Standard tier · highlighted = better

Command R7B (12-2024)
gpt-oss-120b
Input / 1M tokens
$0.04
$0.03
Output / 1M tokens
$0.15
$0.15
Batch input / output
Not listed
$0.03 / $0.14
Context window
128,000
131,072
Input types
Not disclosed
Not disclosed
Weights
Not marked open
Not marked open
Tiers listed
standard
batch, standard
Prices checked
2026-08-17
2026-10-10

What it costs for real workloads

Monthly, standard tier, 30 days

Support chatbot10k chats/day · 1.5k in, 300 out
$30.38/mo
$27.00/mo
RAG over documents2k queries/day · 12k in, 500 out
$31.50/mo
$26.10/mo
Coding agent300 tasks/day · 60k in, 8k out
$31.05/mo
$27.00/mo

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

AFreeB<$0.10C$0.10–0.30D$0.30–1E$1–3F$3–10G$10–30H$30+1<32K232–128K3128–256K4256K–1M51M6>1MINPUT PRICE PER 1M TOKENS →CONTEXT WINDOW ↑ · position within a square follows the real valueMistral Small 3 · B2Llama 3.2 1B Instruct · B2Mistral Nemo · B3Gemma 3 12B · B3Gemma 3 4B · B3Llama 3.1 8B Instruct · B3Llama 3.2 3B Instruct · B3gpt-oss-20b · B3Command R7B (12-2024)Command R7B (12-2024)gpt-oss-120bgpt-oss-120b
Command R7B (12-2024)gpt-oss-120bNearest neighboursOpen weights
View the map as a table (2 squares)

Capabilities side by side

Only what our records list

Command R7B (12-2024)
gpt-oss-120b
Vision input
Not disclosed
Not disclosed
Audio input
Not disclosed
Not disclosed
Open weights
Not marked open
Not marked open
Batch tier
Not listed
Supported
Free tier
Not listed
Not listed
Thinking tier
Not listed
Not listed

Neither record lists input types, so we do not claim any.

Which should you choose?

Editorial

Choose 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?
We do not benchmark quality, so we cannot say. On the recorded numbers: 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. Which is better for you depends on your task; test both on your own prompts.
Which is cheaper, Command R7B (12-2024) or gpt-oss-120b?
gpt-oss-120b: $0.03 against $0.04 per 1M input tokens, and $0.15 against $0.15 per 1M output, on standard pricing.
How much does each cost per 1M tokens?
Command R7B (12-2024): $0.04 input and $0.15 output. gpt-oss-120b: $0.03 input and $0.15 output. Standard tier, USD.
Which has the larger context window?
gpt-oss-120b, with 131,072 tokens. Command R7B (12-2024) has 128,000 tokens.
Do both offer batch pricing?
Command R7B (12-2024) lists no batch tier. gpt-oss-120b lists a batch tier, at 99% of its standard price.
Can both read images or audio?
Input types recorded for Command R7B (12-2024): none recorded. For gpt-oss-120b: none recorded. Where a record lists none we say so rather than guess; check each vendor's documentation before relying on a capability.
Is either model open-weight?
Command R7B (12-2024): not marked open-weight in our records. gpt-oss-120b: not marked open-weight in our records.
What would each cost for a support chatbot?
At 10,000 chats a day, 1,500 input and 300 output tokens each, 30 days, standard tier: about $30.38 a month for Command R7B (12-2024) and $27.00 for gpt-oss-120b. This is our calculation from the listed prices, not a quote.

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 →

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