MiniMax M2.7

Fireworks AI chat Deprecated 69d ago
Heads-up: Fireworks AI has scheduled MiniMax M2.7 for deprecation on Aug 27, 2026. Plan a migration. Use Agent Command Center's model fallback routing to swap models without code changes.

MiniMax M2.7 is a Fireworks AI chat model.It supports a 196,608-token context windowwith up to 196,608 output tokens. Capabilities include function calling. Route MiniMax M2.7 via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: unknown Last verified: Oct 22, 2026 View source ↗
Pricing not yet public

We don't have verified per-token pricing for MiniMax M2.7 yet. If you have a source from Fireworks AI's documentation, help us add it — your submission gets reviewed within 48 hours.

Pricing

Per-token rates, expressed in USD per 1M tokens. Verified Oct 22, 2026.

Input —
Output —

Context & limits

Context window
196,608 tokens
Max input
196,608 tokens
Max output
196,608 tokens
Modalities
text

Capabilities

  • Function calling ✓ supported
  • Parallel tool calls — not advertised
  • Vision input — not advertised
  • Audio input — not advertised
  • Audio output — not advertised
  • PDF input — not advertised
  • Streaming ✓ supported
  • Structured output ✓ supported
  • Prompt caching — not advertised
  • Reasoning — not advertised

Strengths & caveats — when to pick MiniMax M2.7

Data-driven from MiniMax M2.7's percentile within chat peers.

Where it's strong

  • +long-form generation — 196,608-token max output, top-10% of peers

Watch out for

  • !already deprecated — provider stopped accepting new traffic 69 days ago

Benchmarks pending

We haven't logged public benchmark scores for MiniMax M2.7 yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call MiniMax M2.7 via Agent Command Center

One OpenAI-compatible endpoint. Routing, fallback, semantic caching, guardrails, and cost tracking come along for the ride. First 100K requests + 100K cache hits free every month.

SDK
Native Future AGI client (agentcc / @agentcc/client). Per-call metadata — provider, cost, latency, cache hit, request id — is returned on x-agentcc-* response headers, so any HTTP client can read it.
# MiniMax M2.7 via the Agent Command Center Python SDK
# pip install agentcc
import os
from agentcc import AgentCC

client = AgentCC(
    api_key=os.environ["AGENTCC_API_KEY"],   # from app.futureagi.com → Settings → API Keys
    base_url="https://gateway.futureagi.com/v1",
)

resp = client.chat.completions.create(
    model="fireworks-ai/accounts-fireworks-models-minimax-m2p7",
    messages=[{"role": "user", "content": "Hello, MiniMax M2.7!"}],
)

print(resp.choices[0].message.content)
print(f"Tokens: {resp.usage.total_tokens}")

# Per-call gateway metadata is returned on x-agentcc-* response headers.
# When you need it programmatically, use .with_raw_response to get them:
raw = client.chat.completions.with_raw_response.create(
    model="fireworks-ai/accounts-fireworks-models-minimax-m2p7",
    messages=[{"role": "user", "content": "Same call, but I want the headers."}],
)
print("Provider:", raw.headers.get("x-agentcc-provider"))
print("Latency:", raw.headers.get("x-agentcc-latency-ms"), "ms")
print("Cost:   ", raw.headers.get("x-agentcc-cost"), "USD")
print("Cache:  ", raw.headers.get("x-agentcc-cache"))
Set AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗

Explore similar models

MiniMax M2.7 doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark. Side-by-side links appear where a comparison page exists; otherwise, open the model profile.

FAQ

How much does MiniMax M2.7 cost?

Public per-token pricing for MiniMax M2.7 is not yet published. Submit a source on this page to help us add it.

What is the context window of MiniMax M2.7?

MiniMax M2.7 supports a 196,608-token context window with up to 196,608 output tokens.

Does MiniMax M2.7 support function calling?

Yes — MiniMax M2.7 supports function (tool) calling.

Is MiniMax M2.7 good for production?

MiniMax M2.7 is well-suited for long-form generation — 196,608-token max output, top-10% of peers. Consider alternatives if you need already deprecated — provider stopped accepting new traffic 69 days ago.

How can I route to MiniMax M2.7 with fallback?

Use Agent Command Center: a single OpenAI-compatible endpoint that supports cost-optimized routing, latency-aware retries, model fallback, and shadow traffic. Configure once, swap models without app changes.

Useful links for MiniMax M2.7

Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.