| Signal | Command R (08-2024) | Delta | gpt-oss-120b |
|---|---|---|---|
Capabilities | 50 | -17 | |
Benchmarks | 43 | -3 | |
Pricing | 99 | 0 | |
Context window size | 81 | 0 | |
Recency | 26 | -62 | |
Output Capacity | 60 | +40 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
41.7
current score
Command R (08-2024)
right now
40.5
current score
Cohere
OpenAI
gpt-oss-120b saves you $31.60/month
That's $379.20/year compared to Command R (08-2024) at your current usage level of 100K calls/month.
| Metric | Command R (08-2024) | gpt-oss-120b | Winner |
|---|---|---|---|
| Overall Score | 42 | 41 | Command R (08-2024) |
| Rank | #163 | #165 | Command R (08-2024) |
| Quality Rank | #163 | #165 | Command R (08-2024) |
| Adoption Rank | #163 | #165 | Command R (08-2024) |
| Parameters | -- | 120B | -- |
| Context Window | 128K | 131K | gpt-oss-120b |
| Pricing | $0.15/$0.60/M | $0.04/$0.19/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | gpt-oss-120b |
| Benchmarks | 43 | 46 | gpt-oss-120b |
| Pricing | 99 | 100 | gpt-oss-120b |
| Context window size | 81 | 81 | gpt-oss-120b |
| Recency | 26 | 88 | gpt-oss-120b |
| Output Capacity | 60 | 20 | Command R (08-2024) |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 42/100 (rank #163), placing it in the top 44% of all 290 models tracked.
Scores 41/100 (rank #165), placing it in the top 43% of all 290 models tracked.
With only a 1-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
gpt-oss-120b offers 69% better value per quality point. At 1M tokens/day, you'd spend $3.44/month with gpt-oss-120b vs $11.25/month with Command R (08-2024) - a $7.81 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. gpt-oss-120b also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.19/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (42/100) correlates with better nuance, coherence, and style in long-form content
Command R (08-2024) and gpt-oss-120b are extremely close in overall performance (only 1.2000000000000028 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Command R (08-2024)
Marginally better benchmark scores; both are excellent
Best for Cost
gpt-oss-120b
69% lower pricing; better value at scale
Best for Reliability
Command R (08-2024)
Higher uptime and faster response speeds
Best for Prototyping
Command R (08-2024)
Stronger community support and better developer experience
Best for Production
Command R (08-2024)
Wider enterprise adoption and proven at scale
by Cohere
| Capability | Command R (08-2024) | gpt-oss-120b |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Cohere
OpenAI
gpt-oss-120b saves you $0.6918/month
That's 70% cheaper than Command R (08-2024) at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Command R (08-2024) | gpt-oss-120b |
|---|---|---|
| Context Window | 128K | 131K |
| Max Output Tokens | 4,000 | -- |
| Open Source | No | Yes |
| Created | Aug 30, 2024 | Aug 5, 2025 |
Command R (08-2024) scores 42/100 (rank #163) compared to gpt-oss-120b's 41/100 (rank #165), giving it a 1-point advantage. Command R (08-2024) is the stronger overall choice, though gpt-oss-120b may excel in specific areas like cost efficiency.
Command R (08-2024) is ranked #163 and gpt-oss-120b is ranked #165 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
gpt-oss-120b is cheaper at $0.19/M output tokens vs Command R (08-2024)'s $0.60/M output tokens - 3.2x more expensive. Input token pricing: Command R (08-2024) at $0.15/M vs gpt-oss-120b at $0.04/M.
gpt-oss-120b has a larger context window of 131,072 tokens compared to Command R (08-2024)'s 128,000 tokens. A larger context window means the model can process longer documents and conversations.