API cost decision in 10 seconds

gpt-oss-120b (free) vs MiniMax M2.5 (free)

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Page updated: 2026-05-26T15:08:08Z Data confirmed: 2026-05-26T19:08:13Z Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

The standard workload cost is tied; choose by context window, provider fit, latency, or model quality.

Both models are estimated at $0 for the standard 1M input plus 500K output workload.

Cost-first pickTie

Context-first pickMiniMax M2.5 (free)

Sample savings$00%

10x traffic gap$0

Context-window winner: MiniMax M2.5 (free). Cost does not separate this pair on the standard workload, so the next decision point is context window and model behavior.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

The two models stay tied across the input-heavy, balanced, and output-heavy sample workloads.

Workload shape	Token mix	Better pick	gpt-oss-120b (free)	MiniMax M2.5 (free)
Input-heavy / RAG	5M input + 500K output	Tie	$0	$0
Balanced workload	1M input + 1M output	Tie	$0	$0
Output-heavy chatbot	1M input + 5M output	Tie	$0	$0

Cheaper input Tie $0 vs $0 / 1M

Both models report the same input price at $0 per 1M tokens.

Cheaper output Tie $0 vs $0 / 1M

Both models report the same output price at $0 per 1M tokens.

Larger context MiniMax M2.5 (free) 131.07K vs 204.8K

MiniMax M2.5 (free) has 73.73K more context (1.56x larger).

Sample workload Tie $0 vs $0

Both models have the same estimated cost for the standard 1M input plus 500K output workload: $0.

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.

Monthly input tokens Monthly output tokens

gpt-oss-120b (free) Calculating… Estimated API cost

MiniMax M2.5 (free) 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

both models tie on input price; both models tie on output price; MiniMax M2.5 (free) offers the larger context window. For the 1M input plus 500K output sample, the standard workload cost is tied.

For a 1M input token plus 500K output token workload, the estimated API cost is $0 for gpt-oss-120b (free) and $0 for MiniMax M2.5 (free).

Best Fit

Choose gpt-oss-120b (free) when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

Choose MiniMax M2.5 (free) when you care most about larger context window.

Decision Notes

Both models are estimated at $0 for the standard 1M input plus 500K output workload.
Both models have the same estimated cost for the standard 1M input plus 500K output workload: $0.
Both models report the same input price at $0 per 1M tokens.
Both models report the same output price at $0 per 1M tokens.
MiniMax M2.5 (free) has 73.73K more context (1.56x larger).

Head-to-Head Specs

Feature	gpt-oss-120b (free) (OpenAI)	MiniMax M2.5 (free) (MiniMax)
Input Price prompt tokens per 1M	$0	$0
Completion Price per 1M tokens	$0	$0
Sample Workload Cost 1M input + 500K output	$0	$0
Context Window	131.07K	204.8K
Release Date	2025-08-05	2026-02-12
Popularity	#26	#109

Use-Case Decision Matrix

Use case	Better pick	Why
Budget-constrained production	Tie	Both models are estimated at $0 for the standard 1M input plus 500K output workload.
High-volume input processing	Tie	Lower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbots	Tie	Lower output-token price matters most when assistants generate many completion tokens.
RAG or long-document work	MiniMax M2.5 (free)	A larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps

No lower-cost same-provider swap is currently tracked for this pair.

Larger context near this budget

Owl Alpha offers 1.05M context with $0 sample workload cost.
DeepSeek V4 Flash (free) offers 1.05M context with $0 sample workload cost.
Lyria 3 Clip Preview offers 1.05M context with $0 sample workload cost.
Lyria 3 Pro Preview offers 1.05M context with $0 sample workload cost.

Popular competitors

DeepSeek V4 Flash · DeepSeek · #1
Hy3 preview · Tencent · #2
Claude Opus 4.7 · Anthropic · #3
Claude Sonnet 4.6 · Anthropic · #4

Cheaper alternatives

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

Compare models within provider hubs before choosing a final API vendor.

Open provider hubs

OpenAI catalog

Review all tracked OpenAI models before deciding whether this matchup is the right shortlist.

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MiniMax catalog

Check other MiniMax models with comparable pricing, context, or release timing.

Open MiniMax models

gpt-oss-120b (free)

gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases. It activates 5.1B parameters per forward pass and is optimized...

MiniMax M2.5 (free)

MiniMax-M2.5 is a SOTA large language model designed for real-world productivity. Trained in a diverse range of complex real-world digital working environments, M2.5 builds upon the coding expertise of M2.1...