gpt-oss-120b vs gpt-oss-120b (batch)
| Signal | gpt-oss-120b | Delta | gpt-oss-120b (batch) |
|---|---|---|---|
Capabilities | 67 | -- | |
Pricing | 99 | 0 | |
Context window size | 81 | -- | |
Recency | 54 | -- | |
Output Capacity | 77 | -4 | |
| Overall Result | 0 wins | of 5 | 2 wins |
Score History
40
current score
Tied
right now
40
current score
gpt-oss-120b
OpenAI
gpt-oss-120b (batch)
OpenAI
gpt-oss-120b (batch) saves you $35.24/month
That's $422.88/year compared to gpt-oss-120b at your current usage level of 100K calls/month.
| Metric | gpt-oss-120b | gpt-oss-120b (batch) | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #379 | #380 | gpt-oss-120b |
| Quality Rank | #379 | #380 | gpt-oss-120b |
| Adoption Rank | #379 | #380 | gpt-oss-120b |
| Parameters | 120B | 120B | -- |
| Context Window | 131K | 131K | -- |
| Pricing | $0.15/$0.60/M | $0.03/$0.14/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | gpt-oss-120b |
| Pricing | 99 | 100 | gpt-oss-120b (batch) |
| Context window size | 81 | 81 | gpt-oss-120b |
| Recency | 54 | 54 | gpt-oss-120b |
| Output Capacity | 77 | 81 | gpt-oss-120b (batch) |
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 40/100 (rank #379), placing it in the top -30% of all 290 models tracked.
Scores 40/100 (rank #380), placing it in the top -31% of all 290 models tracked.
With only a 0-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.
Choose gpt-oss-120b when you need:
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
Choose gpt-oss-120b (batch) when you need:
- High-volume production workloads where API costs must be minimized
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
gpt-oss-120b (batch) offers 78% better value per quality point. At 1M tokens/day, you'd spend $2.48/month with gpt-oss-120b (batch) vs $11.25/month with gpt-oss-120b - a $8.77 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
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. gpt-oss-120b (batch) 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 ($0.14/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content
gpt-oss-120b and gpt-oss-120b (batch) are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
By Use Case
Best for Quality
gpt-oss-120b
Marginally better benchmark scores; both are excellent
Best for Cost
gpt-oss-120b (batch)
78% 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
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | gpt-oss-120b | gpt-oss-120b (batch) |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
gpt-oss-120b
OpenAI
gpt-oss-120b (batch)
OpenAI
gpt-oss-120b (batch) saves you $0.7735/month
That's 78% cheaper than gpt-oss-120b 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 | gpt-oss-120b (batch) |
|---|---|---|
| Context Window | 131K | 131K |
| Max Output Tokens | 65,536 | 117,964 |
| Open Source | Yes | Yes |
| Created | Aug 5, 2025 | Aug 5, 2025 |