| Signal | gpt-oss-120b | Delta | R1 Distill Llama 70B |
|---|---|---|---|
Capabilities | 67 | +17 | |
Benchmarks | 46 | +6 | |
Pricing | 100 | +1 | |
Context window size | 81 | -- | |
Recency | 88 | +35 | |
Output Capacity | 20 | -50 | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
40.5
current score
R1 Distill Llama 70B
right now
42.4
current score
OpenAI
DeepSeek
gpt-oss-120b saves you $96.60/month
That's $1159.20/year compared to R1 Distill Llama 70B at your current usage level of 100K calls/month.
| Metric | gpt-oss-120b | R1 Distill Llama 70B | Winner |
|---|---|---|---|
| Overall Score | 41 | 42 | R1 Distill Llama 70B |
| Rank | #175 | #173 | R1 Distill Llama 70B |
| Quality Rank | #175 | #173 | R1 Distill Llama 70B |
| Adoption Rank | #175 | #173 | R1 Distill Llama 70B |
| Parameters | 120B | 70B | -- |
| Context Window | 131K | 131K | -- |
| Pricing | $0.04/$0.19/M | $0.70/$0.80/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | gpt-oss-120b |
| Benchmarks | 46 | 40 | gpt-oss-120b |
| Pricing | 100 | 99 | gpt-oss-120b |
| Context window size | 81 | 81 | gpt-oss-120b |
| Recency | 88 | 52 | gpt-oss-120b |
| Output Capacity | 20 | 70 | R1 Distill Llama 70B |
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 41/100 (rank #175), placing it in the top 40% of all 290 models tracked.
Scores 42/100 (rank #173), placing it in the top 41% of all 290 models tracked.
With only a 2-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 85% better value per quality point. At 1M tokens/day, you'd spend $3.44/month with gpt-oss-120b vs $22.50/month with R1 Distill Llama 70B - a $19.07 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
gpt-oss-120b and R1 Distill Llama 70B are extremely close in overall performance (only 1.8999999999999986 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
gpt-oss-120b
Marginally better benchmark scores; both are excellent
Best for Cost
gpt-oss-120b
85% lower pricing; better value at scale
Best for Reliability
gpt-oss-120b
Higher uptime and faster response speeds
Best for Prototyping
gpt-oss-120b
Stronger community support and better developer experience
Best for Production
gpt-oss-120b
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | gpt-oss-120b | R1 Distill Llama 70B |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
DeepSeek
gpt-oss-120b saves you $1.92/month
That's 87% cheaper than R1 Distill Llama 70B 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 | gpt-oss-120b | R1 Distill Llama 70B |
|---|---|---|
| Context Window | 131K | 131K |
| Max Output Tokens | -- | 16,384 |
| Open Source | Yes | Yes |
| Created | Aug 5, 2025 | Jan 23, 2025 |