Mistral Mistral 7B Instruct v0.2
Amazon Bedrock chatMistral Mistral 7B Instruct v0.2 is an Amazon Bedrock chat model.It supports a 32,000-token context windowwith up to 8,191 output tokens.Input is priced at $0.150/M tokens and output at $0.200/M tokens. Route Mistral Mistral 7B Instruct v0.2 via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate Mistral Mistral 7B Instruct v0.2 spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $0.1500/M input · $0.2000/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 | $0.150/M | |
| Output | $0.200/M |
Limits
- Context window
- 32,000 tokens
- Max input
- 32,000 tokens
- Max output
- 8,191 tokens
- Modalities
- text
Capabilities
- Function calling — not advertised
- Parallel tool calls — not advertised
- Vision input — not advertised
- Audio input — not advertised
- Audio output — not advertised
- PDF input — not advertised
- Streaming ✓ supported
- Structured output — not advertised
- Prompt caching — not advertised
- Reasoning — not advertised
Where it's strong
Watch out for
- !high cost — input + output rates are in the top 88% of priced chat peers; consider a cheaper sibling for high-volume workloads
- !limited context — 32,000-token window is in the bottom quartile; not ideal for long documents or large RAG
- !agentic workflows — no advertised function-calling; use a tool-capable model and route via Agent Command Center for fallback
- !strict structured output — no JSON-schema enforcement, expect retry loops
Benchmarks pending
We haven't logged public benchmark scores for Mistral Mistral 7B Instruct v0.2 yet. Have one to contribute? Submit a source — citations help us prioritise.
Call Mistral Mistral 7B Instruct v0.2 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.# Mistral Mistral 7B Instruct v0.2 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="bedrock/mistral-mistral-7b-instruct-v0-2",
messages=[{"role": "user", "content": "Hello, Mistral Mistral 7B Instruct v0.2!"}],
)
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="bedrock/mistral-mistral-7b-instruct-v0-2",
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 ↗Compare with similar models
Mistral Mistral 7B Instruct v0.2 doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark.
- DeepSeek v3.2Amazon Bedrock · $0.620/M in · $1.85/M out · 163,840 ctx
- Anthropic Claude Haiku 4.5 (2025-10-01)Amazon Bedrock · $1.00/M in · $5.00/M out · 200,000 ctx
- Amazon Nova 2 Lite v1.0Amazon Bedrock · $0.300/M in · $2.50/M out · 1,000,000 ctx
- Amazon Nova 2 Pro preview 20251202 v1.0Amazon Bedrock · $2.19/M in · $17.50/M out · 1,000,000 ctx
FAQ
How much does Mistral Mistral 7B Instruct v0.2 cost?
Input is priced at $0.150 per 1M tokens and output at $0.200 per 1M tokens (Amazon Bedrock, last verified May 12, 2026).
What is the context window of Mistral Mistral 7B Instruct v0.2?
Mistral Mistral 7B Instruct v0.2 supports a 32,000-token context window with up to 8,191 output tokens.
Does Mistral Mistral 7B Instruct v0.2 support function calling?
Mistral Mistral 7B Instruct v0.2 does not currently advertise function-calling support. For agentic workloads, prefer a tool-calling-capable model and route via Agent Command Center for fallback.
Is Mistral Mistral 7B Instruct v0.2 good for production?
Mistral Mistral 7B Instruct v0.2 is best evaluated against your own production traces. Pipe traffic through Agent Command Center to compare it head-to-head against alternatives in shadow mode.
How can I route to Mistral Mistral 7B Instruct v0.2 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 Mistral Mistral 7B Instruct v0.2
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.