API cost decision in 10 seconds

🔥MiniMax M2.7 vs 🔥gpt-oss-120b

Pick gpt-oss-120b for lower cost; pick MiniMax M2.7 only if the larger context window matters more.

Pricing data updated:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick gpt-oss-120b for lower cost; pick MiniMax M2.7 only if the larger context window matters more.

On the standard 1M input plus 500K output workload, gpt-oss-120b is estimated at $0.13 vs $0.88 for MiniMax M2.7, saving $0.75 (85.3% lower).

Cost-first pickgpt-oss-120b
Context-first pickMiniMax M2.7
Sample savings$0.7585.3%
10x traffic gap$7.51

MiniMax M2.7 has more context, but gpt-oss-120b saves $0.75 on the standard workload. At 10x that traffic, the same price gap is about $7.51. Use the calculator below to replace the sample workload with your own token volume.

Cheaper input gpt-oss-120b $0.28 vs $0.039 / 1M

gpt-oss-120b is $0.24 cheaper per 1M input tokens (86.1% lower; 7.18x difference).

Cheaper output gpt-oss-120b $1.2 vs $0.18 / 1M

gpt-oss-120b is $1.02 cheaper per 1M output tokens (85% lower; 6.67x difference).

Larger context MiniMax M2.7 196.61K vs 131.07K

MiniMax M2.7 has 65.54K more context (1.5x larger).

Sample workload gpt-oss-120b $0.88 vs $0.13

gpt-oss-120b is $0.75 cheaper on the standard workload (85.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
MiniMax M2.7 Calculating… Estimated API cost
gpt-oss-120b Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

gpt-oss-120b has the lower input price; gpt-oss-120b has the lower output price; MiniMax M2.7 offers the larger context window. For the 1M input plus 500K output sample, gpt-oss-120b is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.88 for MiniMax M2.7 and $0.13 for gpt-oss-120b.

Best Fit

Choose MiniMax M2.7 when you care most about larger context window.

Choose gpt-oss-120b when you care most about lower input-token price, and lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, gpt-oss-120b is estimated at $0.13 vs $0.88 for MiniMax M2.7, saving $0.75 (85.3% lower).
  • gpt-oss-120b is $0.75 cheaper on the standard workload (85.3% lower).
  • gpt-oss-120b is $0.24 cheaper per 1M input tokens (86.1% lower; 7.18x difference).
  • gpt-oss-120b is $1.02 cheaper per 1M output tokens (85% lower; 6.67x difference).
  • MiniMax M2.7 has 65.54K more context (1.5x larger).
Head-to-Head Specs
Feature🔥MiniMax M2.7
(MiniMax)		🔥gpt-oss-120b
(OpenAI)
Input Price
prompt tokens per 1M		$0.28$0.039
Completion Price
per 1M tokens		$1.2$0.18
Sample Workload Cost
1M input + 500K output		$0.88$0.13
Context Window196.61K131.07K
Release Date2026-03-182025-08-05
Popularity Rank
current rank		#9#20

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productiongpt-oss-120bOn the standard 1M input plus 500K output workload, gpt-oss-120b is estimated at $0.13 vs $0.88 for MiniMax M2.7, saving $0.75 (85.3% lower).
High-volume input processinggpt-oss-120bLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsgpt-oss-120bLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workMiniMax M2.7A larger context window leaves more room for retrieved passages, conversation history, or source files.

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