MiniMax M2.7

minimax/minimax-m2.7
Reasoning
by MiniMax · 2026-03-18

MiniMax M2.7 — next-gen agentic LLM optimized for autonomous workflows and continuous self-improvement, 200k context, ~60 tps output.

Endpoints:/v1/chat/completions
ctx204.8K tokens
Max output2K
Inputtext
Outputtext
p50 TTFT1.06 s
INPUT$0.30/ 1M tokens
OUTPUT$1.20/ 1M tokens
p50 TTFT1.06 s7d
p95 TTFT4.43 s7d
TRAFFIC7.5Mtokens / 7d
Get the MiniMax M2.7 API →▶ Try in playground</> Use via API

Code samples

Call from any SDK

OpenAI-compatible — keep the SDK you already use

  • OpenAI SDKhttps://api.orcarouter.ai/v1
from openai import OpenAI

client = OpenAI(
    base_url="https://api.orcarouter.ai/v1",
    api_key="$ORCAROUTER_API_KEY",
)

response = client.chat.completions.create(
    model="minimax/minimax-m2.7",
    messages=[{"role": "user", "content": "Hello"}],
)
print(response.choices[0].message.content)

Supported parameters

  • max_completion_tokens
  • reasoning
  • reasoning_split
  • stream
  • temperature
  • top_p

Pricing

Input / 1M tokens$0.300
Output / 1M tokens$1.20
Cache read / 1M$0.060
Cache write / 1M$0.375
CurrencyUSD

Cost calculator

Tokens / month10MM
Input share70%%
Estimated / month $5.70 · With prompt caching $4.86

Estimate based on list price

Token & cost estimator

Input tokens: 20Cost per request: $0.000606

Estimate only — actual token counts depend on the provider's tokenizer.

Performance

last 7 days
p50 TTFT
1.06 s
Output speed
51.5 tok/s
p95 TTFT
4.43 s
Error rate
0%

Public benchmarks

Last evaluated 2026-06-25
56.2
AA Coding
Better than 79% of models compared
#22 of 106
57.2
AA Intelligence
Better than 79% of models compared
#23 of 110
61.2
AA Math
Better than 46% of models compared
#44 of 81
GPQA Diamond
52.2 index
Humanity's Last Exam
28.1
IFBench
75.7
Long-Context Recall
68.7
MMLU-Pro
62.2 index
SciCode
47.0
TerminalBench Hard
39.4
τ²-Bench
46.2 index
Source: artificialanalysis.ai

How it compares

MiniMax M2.7MiniMax M3MiniMax M2.7 highspeedMiniMax M2.5
Input $/M$0.30$0.30$0.60$0.30
Output $/M$1.20$1.20$2.40$1.20
Context205K1.0M205K205K
Quality8/109/108/107/10
Compare side-by-sideCompare side-by-sideCompare side-by-sideCompare side-by-side

More from MiniMax

See all models from minimax →
MiniMax M2.5 highspeedCheapest
minimax/minimax-m2.5-highspeed
$0.60 in · $2.40 out / 1M
204.8K ctx· quality 7/10
 Compare side-by-side

FAQ

How much does MiniMax: MiniMax M2.7 cost on OrcaRouter?
MiniMax: MiniMax M2.7 is priced at $0.30 per 1M input tokens and $1.20 per 1M output tokens via OrcaRouter. Pricing is pulled live from the routing layer.
What is MiniMax: MiniMax M2.7's context window?
MiniMax: MiniMax M2.7 supports a context window of 205K tokens. Use long-context features (RAG, summarisation) up to that limit.
How do I call MiniMax: MiniMax M2.7 via the OpenAI SDK?
Set OpenAI base_url to https://api.orcarouter.ai/v1, supply your OrcaRouter API key, and pass model="minimax/minimax-m2.7" in the chat.completions.create call.
Does OrcaRouter rate-limit MiniMax: MiniMax M2.7?
Per-model rate limits follow your OrcaRouter plan. Free tiers ship with conservative caps; paid tiers lift them. Check /pricing for current quotas.

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Model card as data

GET /api/public/models/minimax/minimax-m2.7Open
Machine-readable:/llms.txt/llms-full.txt