token.app › Compare › gpt-oss-120b (batch) vs Gemini 3.7 Flash

gpt-oss-120b (batch) vs Gemini 3.7 Flash

gpt-oss-120b (batch) is 27× cheaper per token on a blended 3:1 basis. Gemini 3.7 Flash accepts the larger context window (1.0M).

Head to head
Blended price uses a 3:1 input:output mix
gpt-oss-120b (batch)Gemini 3.7 Flash
ProviderOpenAIGoogle
Input $/1M$0.030$0.750
Output $/1M$0.136$3.75
Blended $/1M$0.056$1.50
Context window131K1.0M
Max output118K66K
ReleasedAug 2025Aug 2026
LicenceOpen weightsProprietary
Choose gpt-oss-120b (batch) if…
  • Costs less per token — $0.056 vs $1.50 blended
  • Open weights — self-hostable
Choose Gemini 3.7 Flash if…
  • Larger context window (1.0M)
  • Newer model (released Aug 2026)
FAQ
Which is better, gpt-oss-120b (batch) or Gemini 3.7 Flash?
We do not hold independently-run benchmark scores covering both gpt-oss-120b (batch) and Gemini 3.7 Flash, so we make no quality claim. Their pricing and specifications are compared on this page.
Is gpt-oss-120b (batch) cheaper than Gemini 3.7 Flash?
gpt-oss-120b (batch) is cheaper: $0.056 versus $1.50 per million tokens blended at 3:1 input:output. Input alone: $0.030 vs $0.750. Output alone: $0.136 vs $3.75.
What context windows do gpt-oss-120b (batch) and Gemini 3.7 Flash have?
gpt-oss-120b (batch): 131,072 tokens. Gemini 3.7 Flash: 1,048,576 tokens.
Who makes gpt-oss-120b (batch) and Gemini 3.7 Flash?
gpt-oss-120b (batch) is made by OpenAI. Gemini 3.7 Flash is made by Google.
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