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GPT-4o-mini (batch) vs gpt-oss-120b (batch)

vs
Signal-by-Signal Comparison
SignalGPT-4o-mini (batch)Deltagpt-oss-120b (batch)
Capabilities
83
+17
67
Benchmarks
72
+12
60
Pricing
100
+0
99
Context window size
81
0
81
Recency
0
-61
61
Output Capacity
67
-14
81
Overall Result
3 wins
of 6
3 wins
It's a tie - both models win 3 signals each

Score History

Score History (5 data points)
GPT-4o-mini (batch)gpt-oss-120b (batch)
GPT-4o-mini (batch)

61.4

current score

Leader

gpt-oss-120b (batch)

right now

gpt-oss-120b (batch)

61.6

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

GPT-4o-mini (batch)

OpenAI

Best Value
Per request$0.000225
Daily$0.75
Monthly$22.50
Annual$270.00

gpt-oss-120b (batch)

OpenAI

Per request$0.000450
Daily$1.50
Monthly$45.00
Annual$540.00

GPT-4o-mini (batch) saves you $22.50/month

That's $270.00/year compared to gpt-oss-120b (batch) at your current usage level of 100K calls/month.

50% cheaper
Choose GPT-4o-mini (batch) for cost optimization

GPT-4o-mini (batch) pricing:
Input:$0.07/M tokens
Output:$0.30/M tokens
gpt-oss-120b (batch) pricing:
Input:$0.15/M tokens
Output:$0.60/M tokens
GPT-4o-mini (batch)

OpenAI

61

Composite Score

Winner
gpt-oss-120b (batch)

OpenAI

62

Composite Score

Signal-by-Signal Comparison
MetricGPT-4o-mini (batch)gpt-oss-120b (batch)Winner
Overall Score
61
62
gpt-oss-120b (batch)
Rank#207#205
gpt-oss-120b (batch)
Quality Rank#207#205
gpt-oss-120b (batch)
Adoption Rank#207#205
gpt-oss-120b (batch)
Parameters--120B--
Context Window128K131K
gpt-oss-120b (batch)
Pricing$0.07/$0.30/M$0.15/$0.60/M--
Signal Scores
Capabilities
83
67
GPT-4o-mini (batch)
Benchmarks
72
60
GPT-4o-mini (batch)
Pricing
100
99
GPT-4o-mini (batch)
Context window size
81
81
gpt-oss-120b (batch)
Recency
0
61
gpt-oss-120b (batch)
Output Capacity
67
81
gpt-oss-120b (batch)
Benchmark Head-to-Head(15 benchmarks)
GPT-4o-mini (batch): 0gpt-oss-120b (batch): 1
GPT-4o-mini (batch)
gpt-oss-120b (batch)
Normalized 0-100%
MMLU
88.7%-
MMLU-Pro
72.6%-
GPQA Diamond
53.6%-
MATH-500
76.6%-
HumanEval
90.2%-
SWE-bench Verified
30.8%-
GSM8K
95.8%-
IFEval
84.3%-
BBH
83.7%-
ARC-Challenge
96.4%-
HellaSwag
95.3%-
Arena Elo
12861352
LiveBench
38.3%-
BigCodeBench
51.1%-
SimpleQA
38.2%-
Benchmark Interpretation

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.

GPT-4o-mini (batch)Competitive

Scores 61/100 (rank #207), placing it in the top 29% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
gpt-oss-120b (batch)Competitive

Scores 62/100 (rank #205), placing it in the top 30% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

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.

When to Use Each Model

Choose GPT-4o-mini (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Multimodal workflows that require image understanding

Choose gpt-oss-120b (batch) when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
  • Self-hosted deployments where you need full control over the model
Cost-Performance Analysis
GPT-4o-mini (batch)Best Value
Input cost$0.07/M tokens
Output cost$0.30/M tokens
Cost per quality point$0.006
Est. monthly (1M tokens/day)$5.63
gpt-oss-120b (batch)
Input cost$0.15/M tokens
Output cost$0.60/M tokens
Cost per quality point$0.012
Est. monthly (1M tokens/day)$11.25

GPT-4o-mini (batch) offers 50% better value per quality point. At 1M tokens/day, you'd spend $5.63/month with GPT-4o-mini (batch) vs $11.25/month with gpt-oss-120b (batch) - a $5.63 monthly difference.

Latency & Speed
GPT-4o-mini (batch)Faster
Speed score0/100
gpt-oss-120b (batch)
Speed score0/100

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.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

GPT-4o-mini (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. GPT-4o-mini (batch) also offers lower per-token costs for high-volume support

GPT-4o-mini (batch)

Long document analysis

Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass

gpt-oss-120b (batch)

Batch data extraction

Lower output pricing ($0.30/M) reduces costs when processing thousands of records daily

GPT-4o-mini (batch)

Creative writing & content

Higher overall composite score (62/100) correlates with better nuance, coherence, and style in long-form content

gpt-oss-120b (batch)

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

GPT-4o-mini (batch)
Which Should You Choose?
Our recommendation:
gpt-oss-120b (batch)

GPT-4o-mini (batch) and gpt-oss-120b (batch) are extremely close in overall performance (only 0.20000000000000284 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.

by OpenAI

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 50% lower pricing; better value at scale
  • 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

by OpenAI

Consider for specialized use cases.

Capability Comparison
CapabilityGPT-4o-mini (batch)gpt-oss-120b (batch)
Vision (Image Input)differs
Function Calling
Streaming
JSON Mode
Reasoningdiffers
Web Searchdiffers
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

GPT-4o-mini (batch)

OpenAI

Best Value
$0.4950
estimated monthly cost

gpt-oss-120b (batch)

OpenAI

$0.9900
estimated monthly cost

GPT-4o-mini (batch) saves you $0.4950/month

That's 50% cheaper than gpt-oss-120b (batch) 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.

Parameters & Context
ParameterGPT-4o-mini (batch)gpt-oss-120b (batch)
Context Window128K131K
Max Output Tokens16,384117,964
Open SourceNoYes
CreatedJul 18, 2024Aug 5, 2025
Last updated: 54m ago

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GPT-4o-mini (batch) vs gpt-oss-120b (batch) (2026) | LM Market Cap