Compare

MiniMax M3 vs FLUX.1 Kontext [Max]

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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MiniMax M3
minimax/m3
FLUX.1 Kontext [Max]
black-forest-labs/flux-1-kontext-max
Provider
MiniMax
Black Forest Labs
Family
MiniMax M
FLUX
Modality
text
image
Context window
1,000,000 tok
Max output
4,096 tok
Released
2026-06-01
2026-08-19
License
Open-weight
Open-weight
Input price
$0.300 /1M
Output price
$1.20 /1M
Per image
$0.080 /img
Tools
Streaming
yes
Vision
JSON mode
Reasoning
Prompt caching
Batch API
Try it
Open in playground →
View model →
MiniMax M3
minimax/m3
Full spec →

MiniMax's M3 language model with frontier coding and agentic capabilities, a 1M token context window, and multilingual support.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows
FLUX.1 Kontext [Max]
black-forest-labs/flux-1-kontext-max
Full spec →

FLUX.1 Kontext [max] is Black Forest Labs' highest-quality Kontext model for text-to-image generation and context-aware image editing.

Strengths
  • Text-to-image generation
  • Creative control
Use cases
Marketing assetsProduct mockupsConcept art

Compare with another

Claude Fable 5.1 vs MiniMax M3
anthropic/claude-fable-5.1 · minimax/m3
Claude Fable 5.1 vs FLUX.1 Kontext [Max]
anthropic/claude-fable-5.1 · black-forest-labs/flux-1-kontext-max
Gemini 3.8 Flash vs MiniMax M3
google/gemini-3.8-flash · minimax/m3
Gemini 3.8 Flash vs FLUX.1 Kontext [Max]
google/gemini-3.8-flash · black-forest-labs/flux-1-kontext-max
Claude Opus 5 vs MiniMax M3
anthropic/claude-opus-5 · minimax/m3
Claude Opus 5 vs FLUX.1 Kontext [Max]
anthropic/claude-opus-5 · black-forest-labs/flux-1-kontext-max
Grok 4.6 vs MiniMax M3
xai/grok-4.6 · minimax/m3
Grok 4.6 vs FLUX.1 Kontext [Max]
xai/grok-4.6 · black-forest-labs/flux-1-kontext-max
Glm-5.3 vs MiniMax M3
zai-org/glm-5.3 · minimax/m3
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-...",
)

# MiniMax M3
client.chat.completions.create(
    model="minimax/m3",
    messages=[{"role":"user","content":"hello"}],
)

# FLUX.1 Kontext [Max]
client.chat.completions.create(
    model="black-forest-labs/flux-1-kontext-max",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →