Mistralai Mistral Small 24B Instruct 2501
Together AI chatMistralai Mistral Small 24B Instruct 2501 is a Together AI chat model. Capabilities include function calling. Route Mistralai Mistral Small 24B Instruct 2501 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 Mistralai Mistral Small 24B Instruct 2501 yet. If you have a source from Together 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 May 12, 2026.
| Input | — | |
| Output | — |
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 — not advertised
- 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
- !strict structured output — no JSON-schema enforcement, expect retry loops
Benchmarks pending
We haven't logged public benchmark scores for Mistralai Mistral Small 24B Instruct 2501 yet. Have one to contribute? Submit a source — citations help us prioritise.
Call Mistralai Mistral Small 24B Instruct 2501 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 Mistral Small 24B Instruct 2501 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-mistral-small-24b-instruct-2501",
messages=[{"role": "user", "content": "Hello, Mistralai Mistral Small 24B Instruct 2501!"}],
)
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-mistral-small-24b-instruct-2501",
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-mistral-small-24b-instruct-2501 is also available via 1 other route. Pricing, regions, and capabilities can differ — compare before routing production traffic.
| Provider | Input / 1M | Output / 1M | Verified |
|---|---|---|---|
| DeepInfra | $0.0500/M | $0.0800/M | May 12, 2026 |
Compare with similar models
Mistralai Mistral Small 24B Instruct 2501 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 Mistral Small 24B Instruct 2501 cost?
Public per-token pricing for Mistralai Mistral Small 24B Instruct 2501 is not yet published. Submit a source on this page to help us add it.
What is the context window of Mistralai Mistral Small 24B Instruct 2501?
Context window for Mistralai Mistral Small 24B Instruct 2501 is not currently public.
Does Mistralai Mistral Small 24B Instruct 2501 support function calling?
Yes — Mistralai Mistral Small 24B Instruct 2501 supports function (tool) calling, including parallel tool calls.
Is Mistralai Mistral Small 24B Instruct 2501 good for production?
Mistralai Mistral Small 24B Instruct 2501 is well-suited for parallel tool calls — only 21% of chat models on Future AGI advertise this. Consider alternatives if you need strict structured output — no JSON-schema enforcement, expect retry loops.
How can I route to Mistralai Mistral Small 24B Instruct 2501 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 Mistral Small 24B Instruct 2501
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.