Last refreshed 2026-06-29. Next refresh: weekly.
Why use Mistral Large 3 675B Instruct on Vercel AI Gateway?
Vercel AI Gateway offers Mistral Large 3 675B Instruct with pay-as-you-go pricing at $0.50/1M input tokens. Vercel AI Gateway is a unified AI proxy providing a single OpenAI-compatible API endpoint to 275+ models from 25+ providers including Anthropic, OpenAI, Google, Meta, Mistral, DeepSeek, xAI, Alibaba, Amazon, ByteDance, Cohere, MiniMax, MoonshotAI, KwaiPilot, Black Forest Labs, Recraft, Voyage AI, NVIDIA, and more.
Compare Mistral Large 3 675B Instruct across 6 providers to find the best fit for your use caseInput / 1M
$0.50
Output / 1M
$1.50
Cache
Not sourced
Batch
Not sourced
Setup recipe
Python + curlInstall
pip install openaiAuth
export AI_GATEWAY_API_KEY=...Call
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],Model ID
mistral/mistral-large-3Request example
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["AI_GATEWAY_API_KEY"],
base_url="https://ai-gateway.vercel.sh/v1"
)
response = client.chat.completions.create(
model="mistral/mistral-large-3",
messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)Gotchas
- Use provider model ID "mistral/mistral-large-3", not the LLMReference slug "mistral-large-3".
- creator/model-name e.g. kwaipilot/kat-coder-pro-v2
- The examples expect AI_GATEWAY_API_KEY; rename it only if your application config maps the new variable.
Compare Mistral Large 3 675B Instruct Across Providers
| Provider | Input (per 1M) | Output (per 1M) |
|---|---|---|
| OpenRouter | $0.50 | $1.50 |
| AWS Bedrock | $0.50 | $1.50 |
| NVIDIA NIM | — | — |
| Mistral AI Studio | $0.50 | $1.50 |
| Microsoft Foundry | — | — |
Pricing
| Type | Price (per 1M) |
|---|---|
| Input tokens | $0.50 |
| Output tokens | $1.50 |
Capabilities
VisionMultimodalStructured Outputs
About Mistral Large 3 675B Instruct
Mistral Large 3 675B Instruct is MistralAI's Mistral Large model. It offers a 128K-token context window and scores 70.2 on τ-bench.
Get Started
Model Specs
Released2025-12-01
Parameters675B
Context128k
ArchitectureDecoder Only
Knowledge cutoff2024-11