Labs Leanstral 1.5
Mistral AI chat Deprecated 35d agomodel fallback routing to swap models without code changes.
Labs Leanstral 1.5 is a Mistral AI chat model.It supports a 262,144-token context windowwith up to 131,072 output tokens. Capabilities include function calling. Route Labs Leanstral 1.5 via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
We don't have verified per-token pricing for Labs Leanstral 1.5 yet. If you have a source from Mistral AI's documentation, help us add it — your submission gets reviewed within 48 hours.
Pricing
Per-token rates, expressed in USD per 1M tokens. Verified Oct 22, 2026.
| Input | — | |
| Output | — |
Context & limits
- Context window
- 262,144 tokens
- Max input
- 262,144 tokens
- Max output
- 131,072 tokens
- Modalities
- text
Capabilities
- Function calling ✓ supported
- 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 ✓ supported
- Prompt caching — not advertised
- Reasoning — not advertised
Strengths & caveats — when to pick Labs Leanstral 1.5
Data-driven from Labs Leanstral 1.5's percentile within chat peers.
Where it's strong
- +long-form generation — 131,072-token max output, top-12% of peers
Watch out for
- !already deprecated — provider stopped accepting new traffic 35 days ago
Benchmarks pending
We haven't logged public benchmark scores for Labs Leanstral 1.5 yet. Have one to contribute? Submit a source — citations help us prioritise.
Call Labs Leanstral 1.5 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.# Labs Leanstral 1.5 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="mistral/labs-leanstral-1-5",
messages=[{"role": "user", "content": "Hello, Labs Leanstral 1.5!"}],
)
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="mistral/labs-leanstral-1-5",
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 ↗Explore similar models
Labs Leanstral 1.5 doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark. Side-by-side links appear where a comparison page exists; otherwise, open the model profile.
- Mistral Large latestMistral AI · $0.500/M in · $1.50/M out · 262,144 ctxView model →
- Mistral Large 2411Mistral AI · $2.00/M in · $6.00/M out · 128,000 ctxView model →
- Mistral Medium 2505Mistral AI · $0.400/M in · $2.00/M out · 131,072 ctxView model →
- Mistral Small latestMistral AI · $0.150/M in · $0.600/M out · 262,144 ctxView model →
FAQ
How much does Labs Leanstral 1.5 cost?
Public per-token pricing for Labs Leanstral 1.5 is not yet published. Submit a source on this page to help us add it.
What is the context window of Labs Leanstral 1.5?
Labs Leanstral 1.5 supports a 262,144-token context window with up to 131,072 output tokens.
Does Labs Leanstral 1.5 support function calling?
Yes — Labs Leanstral 1.5 supports function (tool) calling.
Is Labs Leanstral 1.5 good for production?
Labs Leanstral 1.5 is well-suited for long-form generation — 131,072-token max output, top-12% of peers. Consider alternatives if you need already deprecated — provider stopped accepting new traffic 35 days ago.
How can I route to Labs Leanstral 1.5 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 Labs Leanstral 1.5
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.