The free launch period ended Oct 22, 2026. MiniMax M3.1 Flash is now served at list price ($0.15/M input, $0.60/M output, $0.015/M cached input).
MiniMax: MiniMax M3.1 Flash
minimax/minimax-m3.1-flash
Model weightsMiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity. It is built for complex, multi-step co-work automation, understanding real codebases, fixing bugs, and building features, and visual understanding and creation, including frontend and presentation creation. It is an open-weight mixture-of-experts model with 23B active / 428B total parameters.
Providers
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 Floor (cheapest).
| $0.150 | $0.60 | $0.0150 | 0.17s | 250 tok/s | ||
| $0.150 | $0.60 | $0.0150 | 0.82s | 133 tok/s | ||
| $0.150 | $0.60 | $0.0150 | 0.70s | 118 tok/s | ||
| $0.150 | $0.60 | $0.0150 | 0.59s | 105 tok/s | ||
| $0.075 | $0.30 | $0.0075 | 1.30s | 100 tok/s | ||
| $0.150 | $0.60 | $0.0150 | 0.39s | 103 tok/s | ||
| $0.150 | $0.60 | $0.0150 | 1.10s | 143 tok/s | ||
10% off | $0.15$0.135 | $0.60$0.54 | $0.015$0.0135 | 1.19s | 65 tok/s | |
| $0.150 | $0.60 | $0.0150 | 0.36s | 64 tok/s | ||
| $0.150 | $0.60 | $0.0150 | 1.41s | 64 tok/s | ||
| $0.075 | $0.30 | $0.0075 | 0.55s | 286 tok/s | ||
50% off | $0.30$0.150 | $1.20$0.60 | $0.03$0.0150 | 0.97s | 60 tok/s |
- Input $0.15 / Output $0.60250 tok/s99.42% uptime
- Input $0.15 / Output $0.60133 tok/s100.00% uptime
- Input $0.15 / Output $0.60118 tok/s99.95% uptime
- Input $0.15 / Output $0.60105 tok/s100.00% uptime
- Input $0.075 / Output $0.30100 tok/s99.48% uptime
Input $0.15 / Output $0.60103 tok/s95.51% uptime- Input $0.15 / Output $0.60143 tok/s99.68% uptime
- Input $0.135 / Output $0.5410% off65 tok/s99.94% uptime
- Input $0.15 / Output $0.6064 tok/s99.05% uptime
- Input $0.15 / Output $0.6064 tok/s98.53% uptime
- Input $0.075 / Output $0.30286 tok/s100.00% uptime
- Input $0.15 / Output $0.6050% off60 tok/s100.00% uptime
Pricing
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.
Weighted average
MiniMax M3.1 Flash — Price history
| $0.0158 | $0.300 | 87.7% | 0.0% | ||
| $0.0206 | $0.469 | 91.5% | 0.2% | ||
| $0.0214 | $0.600 | 95.3% | 4.2% | ||
| $0.0219 | $0.489 | 91.4% | 84.8% | ||
| $0.0220 | $0.599 | 94.8% | 0.0% | ||
| $0.0240 | $0.600 | 93.3% | 2.4% | ||
| $0.0243 | $0.599 | 93.1% | 2.8% | ||
| $0.0271 | $0.539 | 88.8% | 0.3% | ||
| $0.0295 | $0.599 | 89.3% | 3.6% | ||
| $0.0323 | $0.599 | 87.2% | 0.1% | ||
| $0.0371 | $0.599 | 83.6% | 1.5% | ||
| $0.0696 | $0.599 | 59.5% | 0.0% |
- Effective in $0.0158 / Effective out $0.300Token share0.0%
- Effective in $0.0206 / Effective out $0.469Token share0.2%
- Effective in $0.0214 / Effective out $0.600Token share4.2%
- Effective in $0.0219 / Effective out $0.489Token share84.8%
- Effective in $0.0220 / Effective out $0.599Token share0.0%
- Effective in $0.0240 / Effective out $0.600Token share2.4%
- Effective in $0.0243 / Effective out $0.599Token share2.8%
- Effective in $0.0271 / Effective out $0.539Token share0.3%
- Effective in $0.0295 / Effective out $0.599Token share3.6%
- Effective in $0.0323 / Effective out $0.599Token share0.1%
- Effective in $0.0371 / Effective out $0.599Token share1.5%
- Effective in $0.0696 / Effective out $0.599Token share0.0%
Performance
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).
P50, best across providers
P50, best provider
Uptime
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.
Availability over the last 3 days
Last 72 hoursAvailability over the last 24 hours
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 provider routing options.
Benchmarks
Scores on standardized evaluations and this model’s own outputs on shared benchmark prompts. Higher percentages are better — and each rank shows where this model lands among the models evaluated on that source.
| Source | Benchmark | Score |
|---|---|---|
| Artificial Analysis | MiniMax-M3.1-Flash Intelligence Index | 29.1 |
| Artificial Analysis | MiniMax-M3.1-Flash HLE | 48.0% |
| Artificial Analysis | MiniMax-M3.1-Flash AA-LCR | 79.7% |
| Artificial Analysis | MiniMax-M3.1-Flash GDPval-AA | 48.2% |
| Artificial Analysis | MiniMax-M3.1-Flash CritPt | 22.3% |
| Artificial Analysis | MiniMax-M3.1-Flash SciCode | 53.4% |
| Artificial Analysis | MiniMax-M3.1-Flash Terminal-Bench 4.0 | 25.8% |
| Artificial Analysis | MiniMax-M3.1-Flash AA-Omniscience Accuracy | 45.1% |
| Artificial Analysis | MiniMax-M3.1-Flash AA-Omniscience Non-Hallucination Rate | 6.3% |
| Vals AI | MiniMax-M3.1-Flash Access to Justice Benchmark | 73.3% |
| Vals AI | MiniMax-M3.1-Flash EMB v1.1 | 67.8% |
| Vals AI | MiniMax-M3.1-Flash Finance Agent v2.1 | 58.8% |
| Vals AI | MiniMax-M3.1-Flash Vals Finance Index | 55.9% |
| Vals AI | MiniMax-M3.1-Flash HLAB-Vals-1.1 | 7.5% |
| Vals AI | MiniMax-M3.1-Flash Vals Legal Index | 67.1% |
| Vals AI | MiniMax-M3.1-Flash Legal Research Bench | 34.1% |
| Vals AI | MiniMax-M3.1-Flash SAGE | 85.3% |
| Vals AI | MiniMax-M3.1-Flash Tax Agent Bench | 32.1% |
| Vals AI | MiniMax-M3.1-Flash Terminal-Bench 4.0 | 25.3% |
| Vals AI | MiniMax-M3.1-Flash Vals Index | 53.8% |
| Vals AI | MiniMax-M3.1-Flash Vibe Code Bench v1.1 | 73.9% |
Apps
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.
Activity
Token volume and request traffic to this model over time.
API
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.
Not currently available through EU in-region routing. In-region routing docs
Frequently asked questions
MiniMax-M3.1-Flash is a multimodal model from MiniMax. Compared with M3, it delivers significant improvements across multiple benchmarks, particularly in complex agentic tasks, coding, and cybersecurity.
MiniMax M3.1 Flash costs $0.075/M input tokens and $0.30/M output tokens, with separate rates for Cache Read at $0.0075/M tokens.
MiniMax M3.1 Flash has a 1,048,576 token context window. It supports up to 131,072 completion tokens.
Yes. MiniMax M3.1 Flash accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
MiniMax M3.1 Flash accepts text, images, and video as input and returns text.
MiniMax M3.1 Flash is served by 11 providers on OpenRouter: Inferact vLLM, MiniMax, StreamLake, Fireworks, inference.net, DigitalOcean, Nebius Token Factory, SambaNova and 3 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 M3.1 Flash was released on October 19, 2026.