Mistralai Mixtral 8×7B Instruct v0.1
Together AI chatMistralai Mixtral 8×7B Instruct v0.1 is a Together AI chat model.Input is priced at $0.600/M tokens and output at $0.600/M tokens. Capabilities include function calling. Route Mistralai Mixtral 8×7B Instruct v0.1 via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate Mistralai Mixtral 8×7B Instruct v0.1 spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $0.6000/M input · $0.6000/M output. Provider pricing changes. Production costs vary with retries, streaming overhead, and tool-call rounds.
Want this for free? Cache + route via Agent Command Center — first 100K requests and 100K cache hits free every month.
Pricing
Per-token rates, expressed in USD per 1M tokens. Verified May 12, 2026.
| Input | $0.600/M | |
| Output | $0.600/M |
Limits
- Context window
- —
- Max input
- —
- Max output
- —
- Modalities
- text
Capabilities
- Function calling ✓ supported
- Parallel tool calls ✓ supported
- Vision input — not advertised
- Audio input — not advertised
- Audio output — not advertised
- PDF input — not advertised
- Streaming ✓ supported
- Structured output ✓ supported
- Prompt caching — not advertised
- Reasoning — not advertised
Where it's strong
- +parallel tool calls — only 21% of chat models on Future AGI advertise this
Watch out for
- No major caveats flagged from public spec.
Benchmarks pending
We haven't logged public benchmark scores for Mistralai Mixtral 8×7B Instruct v0.1 yet. Have one to contribute? Submit a source — citations help us prioritise.
Call Mistralai Mixtral 8×7B Instruct v0.1 via Agent Command Center
One OpenAI-compatible endpoint. Routing, fallback, semantic caching, guardrails, and cost tracking come along for the ride. First 100K requests + 100K cache hits free every month.
agentcc / @agentcc/client). Per-call metadata — provider, cost, latency, cache hit, request id — is returned on x-agentcc-* response headers, so any HTTP client can read it.# Mistralai Mixtral 8×7B Instruct v0.1 via the Agent Command Center Python SDK
# pip install agentcc
import os
from agentcc import AgentCC
client = AgentCC(
api_key=os.environ["AGENTCC_API_KEY"], # from app.futureagi.com → Settings → API Keys
base_url="https://gateway.futureagi.com/v1",
)
resp = client.chat.completions.create(
model="together-ai/mistralai-mixtral-8x7b-instruct-v0-1",
messages=[{"role": "user", "content": "Hello, Mistralai Mixtral 8×7B Instruct v0.1!"}],
)
print(resp.choices[0].message.content)
print(f"Tokens: {resp.usage.total_tokens}")
# Per-call gateway metadata is returned on x-agentcc-* response headers.
# When you need it programmatically, use .with_raw_response to get them:
raw = client.chat.completions.with_raw_response.create(
model="together-ai/mistralai-mixtral-8x7b-instruct-v0-1",
messages=[{"role": "user", "content": "Same call, but I want the headers."}],
)
print("Provider:", raw.headers.get("x-agentcc-provider"))
print("Latency:", raw.headers.get("x-agentcc-latency-ms"), "ms")
print("Cost: ", raw.headers.get("x-agentcc-cost"), "USD")
print("Cache: ", raw.headers.get("x-agentcc-cache"))AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗Same model on other providers
mistralai-mixtral-8x7b-instruct-v0-1 is also available via 3 other routes. Pricing, regions, and capabilities can differ — compare before routing production traffic.
Compare with similar models
Mistralai Mixtral 8×7B Instruct v0.1 doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark.
FAQ
How much does Mistralai Mixtral 8×7B Instruct v0.1 cost?
Input is priced at $0.600 per 1M tokens and output at $0.600 per 1M tokens (Together AI, last verified May 12, 2026).
What is the context window of Mistralai Mixtral 8×7B Instruct v0.1?
Context window for Mistralai Mixtral 8×7B Instruct v0.1 is not currently public.
Does Mistralai Mixtral 8×7B Instruct v0.1 support function calling?
Yes — Mistralai Mixtral 8×7B Instruct v0.1 supports function (tool) calling, including parallel tool calls.
Is Mistralai Mixtral 8×7B Instruct v0.1 good for production?
Mistralai Mixtral 8×7B Instruct v0.1 is well-suited for parallel tool calls — only 21% of chat models on Future AGI advertise this.
How can I route to Mistralai Mixtral 8×7B Instruct v0.1 with fallback?
Use Agent Command Center: a single OpenAI-compatible endpoint that supports cost-optimized routing, latency-aware retries, model fallback, and shadow traffic. Configure once, swap models without app changes.
Useful links for Mistralai Mixtral 8×7B Instruct v0.1
Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.
Third-party evals — verify the marketing.
Cross-check our number against the rest of the ecosystem.