compare/Mistral-7b-Instruct-V0.2vsHermes-2-Pro-Mistral-7b

Mistral-7b-Instruct-V0.2 vs Hermes-2-Pro-Mistral-7b

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.
 Mistral-7b-Instruct-V0.2
hf/mistral/mistral-7b-instruct-v0.2
Hermes-2-Pro-Mistral-7b
hf/nousresearch/hermes-2-pro-mistral-7b
ProviderHugging FaceHugging Face
FamilyMistralMistral
Modalitytexttext
Context window3,072 tok24,000 tok
Max output4,096 tok4,096 tok
Released2024-04-022024-04-01
Input price$0.050 /1M$0.050 /1M
Output price$0.100 /1M$0.100 /1M
Cache read——
Tools—yes
Streamingyesyes
Vision——
JSON mode—yes
Reasoning——
Prompt caching——
Mistral-7b-Instruct-V0.2
hf/mistral/mistral-7b-instruct-v0.2
Full spec →

The Mistral-7B-Instruct-v0.2 Large Language Model (LLM) is an instruct fine-tuned version of the Mistral-7B-v0.2. Mistral-7B-v0.2 has the following changes compared to Mistral-7B-v0.1: 32k context window (vs 8k context in v0.1), rope-theta = 1e6, and no Sliding-Window Attention.

Strengths
  • General-purpose chat
  • Open-weight
Hermes-2-Pro-Mistral-7b
hf/nousresearch/hermes-2-pro-mistral-7b
Full spec →

Hermes 2 Pro on Mistral 7B is the new flagship 7B Hermes! Hermes 2 Pro is an upgraded, retrained version of Nous Hermes 2, consisting of an updated and cleaned version of the OpenHermes 2.5 Dataset, as well as a newly introduced Function Calling and JSON Mode dataset developed in-house.

Strengths
  • Function / tool calling
  • Structured output
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 Mistral-7b-Instruct-V0.2
client.chat.completions.create(
    model="hf/mistral/mistral-7b-instruct-v0.2",
    messages=[{"role":"user","content":"hello"}],
)

# Try Hermes-2-Pro-Mistral-7b — same client, same key
client.chat.completions.create(
    model="hf/nousresearch/hermes-2-pro-mistral-7b",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyAdd a third model

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