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 to extend into general office work, reaching fluency in generating and operating Word, Excel, and Powerpoint files, context switching between diverse software environments, and working across different agent and human teams. Scoring 80.2% on SWE-Bench Verified, 51.3% on Multi-SWE-Bench, and 76.3% on BrowseComp, M2.5 is also more token efficient than previous generations, having been trained to optimize its actions and output through planning.
Modalities
In / Out Price
$0.22 / $0.90per 1M
Context
205K
Released
Feb 12, 2026
Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Exacto (highest tool-calling accuracy).
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Token volume and request traffic to this model over time.
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
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 to extend into general office work, reaching fluency in generating and operating Word, Excel, and Powerpoint files, context switching between diverse software environments, and working...
MiniMax M2.5 costs $0.22/M input tokens and $0.90/M output tokens, with separate rates for Cache Read at $0.05/M tokens.
MiniMax M2.5 has a 204,800 token context window. It supports up to 196,608 completion tokens.
Yes. MiniMax M2.5 accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
MiniMax M2.5 is served by 9 providers on OpenRouter: Inceptron, DigitalOcean, Venice, StreamLake, AtlasCloud, Friendli, MiniMax Highspeed, NovitaAI and 1 more. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.
MiniMax M2.5 was released on February 12, 2026.
| $0.22 | $0.90 | $0.05 | 0.65s | 33 tps | ||
| $0.225 | $0.90 | $0.06 | 0.58s | 48 tps | ||
| $0.27 | $0.95 | $0.03 | 0.92s | 39 tps | ||
10% off | $0.30$0.27 | $1.20$1.08 | $0.03$0.027 | 1.19s | 56 tps | |
| $0.295 | $1.20 | $0.06 | 1.24s | 67 tps | ||
| $0.30 | $1.20 | $0.06 | 0.36s | 128 tps | ||
| $0.30 | $1.20 | $0.03 | 1.54s | 49 tps | ||
| $0.30 | $1.20 | $0.03 | 1.13s | 23 tps | ||
| $0.30 | $1.20 | $0.03 | 1.27s | 39 tps | ||
| $0.60 | $2.40 | $0.06 | 2.08s | 44 tps |
Throughput
128tok/s
P50, best across providers
Latency
0.36s
P50, best provider
100.00%
99.97%
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.