GPT-OSS 120B vs MiniMax-M2.7
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
| Specification |
by Fireworks
3 providers:
Fireworks $0.150/$0.600
Groq $0.150/$0.600
Together $0.150/$0.600
|
by Fireworks
2 providers:
Fireworks $0.300/$1.20
MiniMax $0.300/$1.20
|
|---|---|---|
| Overview | ||
| Status | Current budget Open weights | Current budget Open weights |
| Released | Jan 1, 2026 | Oct 1, 2025 |
| Pricing per million tokens | ||
| Input | $0.150/Mtok | $0.300/Mtok |
| Output | $0.600/Mtok | $1.20/Mtok |
| Blended avg | $0.262/Mtok | $0.525/Mtok |
| Cached input | $0.015/Mtok | $0.060/Mtok |
| Specifications | ||
| Context window | 128K tokens | 128K tokens |
| Parameters | 120B | Proprietary |
| Speed (TPS) | — | — |
| Modalities | ||
| Input |
text
|
text
|
| Benchmarks sources: Vellum LLM Leaderboard / LMSYS Chatbot Arena (UC Berkeley) | ||
| Independent composite scores measured for both models — each on its own scale | ||
| AA Intelligence Index | 24.1 | 38.9 |
| AA Agentic Index | 13.4 | 25.9 |
| AA-Omniscience Index (−100–100) | -49.2 | 0.8 |
| LMSYS Chatbot Arena | 1352.2 ELO | — |
| Per-benchmark results published for GPT-OSS 120B only — no independent per-benchmark scores exist for MiniMax-M2.7 yet | ||
| Avg benchmark score | 65.5 | — |
| Perf / dollar | 249.5 | — |
| GPQA Diamond | 80.1 | — |
| LiveCodeBench | 69 | — |
| Humanity's Last Exam | 14.9 | — |
| AIME 2025 | 97.9 | — |
| Providers | ||
| Available from |
Fireworks — $0.150/$0.600/Mtok
Groq — $0.150/$0.600/Mtok
Together — $0.150/$0.600/Mtok
|
Fireworks — $0.300/$1.20/Mtok
MiniMax — $0.300/$1.20/Mtok
|
Cost at scale
1M tokens · 50/50 input/output| Volume | GPT-OSS 120B | MiniMax-M2.7 | Savings |
|---|---|---|---|
| 1M tokens | $0.26 | $0.52 | $0.26 (49.5%) |
| 10M tokens | $2.62 | $5.25 | $2.62 (49.9%) |
| 100M tokens | $26.25 | $52.5 | $26.25 (50%) |
| 1000M tokens | $262.5 | $525 | $262.5 (50%) |
When to pick which
distilled from the pricing and spec data above- cost dominates: $0.262/Mtok blended vs $0.525 — 50% less on the same 50/50 token mix
- your workload re-reads context (agents, RAG, long chats): cached input costs $0.015/Mtok — 90% off its list input price
- provider flexibility: available from 3 providers, so you can price-shop hosts or fail over
- this pairing gives MiniMax-M2.7 no edge on price, context, cache discount, or measured performance — pick it only for qualitative fit (ecosystem, compliance, model behavior on your prompts)
The cheaper option here — GPT-OSS 120B costs $0.262/Mtok blended on Fireworks.
Summary
GPT-OSS 120B by Fireworks costs $0.150/Mtok input and $0.600/Mtok output, with a 128K-token context window. It supports text input and is available from 3 providers.
MiniMax-M2.7 by Fireworks costs $0.300/Mtok input and $1.20/Mtok output, with a 128K-token context window. It supports text input and is available from 2 providers.
On a blended cost basis, GPT-OSS 120B is 50% cheaper than MiniMax-M2.7.
The two aren't directly comparable on average benchmark score: GPT-OSS 120B has published per-benchmark results, while MiniMax-M2.7 does not yet — it is measured today on independent composites (see the table above).
Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.