Today's price · per 1M tokens
Input
$0.300
per 1M tokens
Output
$1.20
per 1M tokens
Blended
$0.525
blended $/1M — 3:1 weighted input:output
Cached input
$0.060
20% of input — prompt caching
Price receipt
We read Together's own pricing page on and found MiniMax M3 listed with a price on the same row — that read is where the number above comes from. We keep the page text we read; its content hash is 0db20f21ed.
Overview
MiniMax-M3 on Together. $0.30/$1.20 per 1M; cached input $0.06. Together serves a 524K context window; MiniMax's native window is 1M.
Deploy this open model on rented GPUs
Open weights mean you can self-host instead of paying per-token API prices. These platforms let you serve it on demand — often cheaper at scale.
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Capabilities
struck through = not supportedBenchmark performance
accuracy % · higher is better- AA Intelligence Index: 29.6 (Artificial Analysis composite across reasoning, knowledge and coding evals)
- AA-Omniscience Index: 1.4 (−100–100)
- GDPval-AA v2: 1304 ELO (Real-world work tasks, human baseline = 1000)
- Ranks #49 of 84 benchmarked models by average score
- Ranks #92 of 181 comparably-measured models by percentile score, across 16 independent measurements
- Ranks #32 of 181 comparably-tested models by normalized performance per dollar
- Strongest at GPQA Diamond — 93%, #14 of 65
100 tokens/sec output
Source: Artificial Analysis, Vellum LLM Leaderboard, Vellum LLM Leaderboard (Jun 2026), MiniMax model card · updated · See full rankings →
Specifications
- Provider
- Together
- Context window
- 524K tokens
- Modality
- text, image
- Parameters
- Proprietary
- Open source
- Yes — open weights available
- Released
- Status
- Current
- Last updated
- Tags
Availability verified: — listed on Together's own page