compare/M2.7vsBge-M3

M2.7 vs Bge-M3

Pricing, context window, capabilities, and release date — pulled from each provider's public docs. Both are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.

RUN BOTH LIVE

Paste a prompt. Watch them race.

Both models stream in parallel through your own AIgateway key. Tokens, latency, and cost update as they arrive.

Sign in to runLive streaming uses your own key. It's free to sign up.
 M2.7
minimax/m2.7
Bge-M3
baai/bge-m3
ProviderMiniMaxBAAI
FamilyBGE
Modalitytextembedding
Context window128,000 tok60,000 tok
Max output4,096 tok
Released2026-04-132024-05-22
Input price$0.300 /1M$0.012 /1M
Output price$1.20 /1M
Cache read
Tools
Streamingyes
Vision
JSON mode
Reasoning
Prompt caching
M2.7
minimax/m2.7
Full spec →

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

Strengths
  • General-purpose chat
  • Streaming
  • Multilingual
Bge-M3
baai/bge-m3
Full spec →

Multi-Functionality, Multi-Linguality, and Multi-Granularity embeddings model.

Strengths
  • Multi-lingual (100+ languages)
  • Strong on retrieval
  • Open-weight
SWITCH BETWEEN THEM

One key, both models, one line different.

# pip install aigateway-py openai
# aigateway-py: sub-accounts, evals, replays, jobs, webhook verify.
# openai SDK: chat/embeddings/images/audio — drop-in compat per our SDK's own guidance.
from openai import OpenAI

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

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

# Try Bge-M3 — same client, same key
client.chat.completions.create(
    model="baai/bge-m3",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyAdd a third model

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