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FLUX.2 [Max] vs MiniMax M2.7

Pricing per million tokens, context window, capabilities — pulled from each provider's public docs. All 2 are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.

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FLUX.2 [Max]
black-forest-labs/flux-2-max
MiniMax M2.7
minimax/m2.7
Provider
Black Forest Labs
MiniMax
Family
FLUX
MiniMax M
Modality
image
text
Context window
128,000 tok
Max output
4,096 tok
Released
2026-05-27
2026-05-22
License
Open-weight
Open-weight
Input price
$0.300 /1M
Output price
$1.20 /1M
Per image
$0.0000 /img
Tools
Streaming
yes
Vision
JSON mode
Reasoning
Prompt caching
Batch API
Try it
Open in playground →
Open in playground →
FLUX.2 [Max]
black-forest-labs/flux-2-max
Full spec →

FLUX.2 [max] is Black Forest Labs' highest-quality image model — top editing consistency, strongest prompt following, and grounding search for visualizations of real-time information.

Strengths
  • Text-to-image generation
  • Creative control
Use cases
Marketing assetsProduct mockupsConcept art
MiniMax M2.7
minimax/m2.7
Full spec →

MiniMax's M2.7 language model with multilingual capabilities.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows

Compare with another

Claude Opus 4.8 vs FLUX.2 [Max]
anthropic/claude-opus-4.8 · black-forest-labs/flux-2-max
Claude Opus 4.8 vs MiniMax M2.7
anthropic/claude-opus-4.8 · minimax/m2.7
Claude Sonnet 4.6 vs FLUX.2 [Max]
anthropic/claude-sonnet-4.6 · black-forest-labs/flux-2-max
Claude Sonnet 4.6 vs MiniMax M2.7
anthropic/claude-sonnet-4.6 · minimax/m2.7
Grok 4.20 Multi-Agent vs FLUX.2 [Max]
xai/grok-4.20-multi-agent-0309 · black-forest-labs/flux-2-max
Grok 4.20 Multi-Agent vs MiniMax M2.7
xai/grok-4.20-multi-agent-0309 · minimax/m2.7
GPT-5.4 vs FLUX.2 [Max]
openai/gpt-5.4 · black-forest-labs/flux-2-max
GPT-5.4 vs MiniMax M2.7
openai/gpt-5.4 · minimax/m2.7
Gemini 2.5 Pro vs FLUX.2 [Max]
google/gemini-2.5-pro · black-forest-labs/flux-2-max
SWITCH BETWEEN THEM

One key, all 2, one line different.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.aigateway.sh/v1",
    api_key="sk-aig-...",
)

# FLUX.2 [Max]
client.chat.completions.create(
    model="black-forest-labs/flux-2-max",
    messages=[{"role":"user","content":"hello"}],
)

# MiniMax M2.7
client.chat.completions.create(
    model="minimax/m2.7",
    messages=[{"role":"user","content":"hello"}],
)
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