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Models / MiniMax

MiniMax: MiniMax M3.1 Flash

minimax/minimax-m3.1-flash

text image videoContext 1.0M

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. It is built for complex,...

Price

Input$0.15

per 1M tokens

Output$0.6

per 1M tokens

Cheaper on SambaNova (−60%) versus the lab price

Compare this model

Providers

Each row is one seller. Prices are the published rate from that source. A dash means that source did not publish the amount. Sorted by a 3:1 blend of input and output.

ProviderTagQuant InputOutput ContextUptimeStatusSource
SambaNova
Price differs from the host list
sambanova — $0.06/1M $0.24/1M 1.0M 100% Live openrouter-endpoints
Inference.net
Price differs from OpenRouter
— — $0.1/1M $0.5/1M 1M — Listed inferencenet
StreamLake streamlake/fp8 fp8 $0.135/1M $0.54/1M 1M 100% Live openrouter-endpoints
GMICloud gmicloud/fp8 fp8 $0.1425/1M $0.57/1M 1.0M 100% Live openrouter-endpoints
AtlasCloud — fp4 $0.15/1M $0.6/1M 1M — Listed atlascloud
DigitalOcean digitalocean — $0.15/1M $0.6/1M 1.0M 100% Live openrouter-endpoints
Fireworks fireworks — $0.15/1M $0.6/1M 1.0M 100% Live openrouter-endpoints
Inference.net
Price differs from the host list
inference-net/fp4 fp4 $0.15/1M $0.6/1M 1M — Live openrouter-endpoints
Inference.net
Price differs from the host list
inference-net/fp4/us fp4 $0.15/1M $0.6/1M 1M 100% Live openrouter-endpoints
MiniMax minimax — $0.15/1M $0.6/1M 1.0M 100% Live openrouter-endpoints
ModelRun modelrun/fp4 fp4 $0.15/1M $0.6/1M 1.0M 100% Live openrouter-endpoints
Novita — — $0.15/1M $0.6/1M 1M — Listed novita
Novita novita/fp16 fp16 $0.15/1M $0.6/1M 1M 100% Live openrouter-endpoints
Parasail parasail/fp8 fp8 $0.15/1M $0.6/1M 1.0M 100% Live openrouter-endpoints
Together — — $0.15/1M $0.6/1M 1.0M — Listed together
Together together — $0.15/1M $0.6/1M 1.0M 100% Live openrouter-endpoints
SambaNova
Price differs from OpenRouter
— — $0.3/1M $1.2/1M 1.0M — Listed sambanova

Monthly bill

Token models use the token counts. Image, video, and audio models use units times the flat rate.

$0.75 at list price for this workload

Cache

Cache read$0.015

per 1M tokens

Every rate
UnitInputOutputFlatConfidence
token $0.15/1M $0.6/1M Not published— official

Price history

MiniMax: MiniMax M3.1 Flash
0.65 0 2026-10-22: $0.152026-10-23: $0.152026-10-24: $0.152026-10-25: $0.152026-10-26: $0.152026-10-27: $0.152026-10-28: $0.152026-10-29: $0.152026-10-30: $0.15 2026-10-22 2026-10-30

input or flat output

Daily snapshots
UTC dateUnitInputOutputFlat
2026-10-22 token $0.15 $0.6 Not published—
2026-10-23 token $0.15 $0.6 Not published—
2026-10-24 token $0.15 $0.6 Not published—
2026-10-25 token $0.15 $0.6 Not published—
2026-10-26 token $0.15 $0.6 Not published—
2026-10-27 token $0.15 $0.6 Not published—
2026-10-28 token $0.15 $0.6 Not published—
2026-10-29 token $0.15 $0.6 Not published—
2026-10-30 token $0.15 $0.6 Not published—

Alternatives

Parameters (20)
frequency_penaltyinclude_reasoninglogit_biaslogprobsmax_tokensmin_ppresence_penaltyreasoningreasoning_effortrepetition_penaltyresponse_formatseedstopstructured_outputstemperaturetool_choicetoolstop_ktop_logprobstop_p
Call this model

OpenRouter id minimax/minimax-m3.1-flash. InferenceList does not send the request.

curl
curl https://openrouter.ai/api/v1/chat/completions \
  -H "Authorization: Bearer $OPENROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model":"minimax/minimax-m3.1-flash","messages":[{"role":"user","content":"Hello"}]}'

JavaScript
await fetch("https://openrouter.ai/api/v1/chat/completions", {
  method: "POST",
  headers: {
    Authorization: "Bearer " + process.env.OPENROUTER_API_KEY,
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "minimax/minimax-m3.1-flash",
    messages: [{ role: "user", content: "Hello" }],
  }),
});

Python
import os, json, urllib.request
req = urllib.request.Request(
    "https://openrouter.ai/api/v1/chat/completions",
    data=json.dumps({"model": "minimax/minimax-m3.1-flash", "messages": [{"role": "user", "content": "Hello"}]}).encode(),
    headers={"Authorization": "Bearer " + os.environ["OPENROUTER_API_KEY"], "Content-Type": "application/json"},
)
print(urllib.request.urlopen(req).read().decode())

JSON · History JSON