Yi Large
Fireworks AI chatYi Large is a Fireworks AI chat model.It supports a 32,768-token context windowwith up to 32,768 output tokens.Input is priced at $3.00/M tokens and output at $3.00/M tokens. Route Yi Large via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate Yi Large spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $3.00/M input · $3.00/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 Oct 22, 2026.
| Input | $3.00/M | |
| Output | $3.00/M | |
| Blended (3:1 in:out) | $3.00/M Cross-model comparable price |
Context & limits
- Context window
- 32,768 tokens
- Max input
- 32,768 tokens
- Max output
- 32,768 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 ✓ supported
- Prompt caching — not advertised
- Reasoning — not advertised
Strengths & caveats — when to pick Yi Large
Data-driven from Yi Large's percentile within chat peers.
Where it's strong
Watch out for
- !limited context — 32,768-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
Benchmarks pending
We haven't logged public benchmark scores for Yi Large yet. Have one to contribute? Submit a source — citations help us prioritise.
Call Yi Large 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.# Yi Large 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="fireworks-ai/accounts-fireworks-models-yi-large",
messages=[{"role": "user", "content": "Hello, Yi Large!"}],
)
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="fireworks-ai/accounts-fireworks-models-yi-large",
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
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FAQ
How much does Yi Large cost?
Input is priced at $3.00 per 1M tokens and output at $3.00 per 1M tokens (Fireworks AI, last verified Oct 22, 2026).
What is the context window of Yi Large?
Yi Large supports a 32,768-token context window with up to 32,768 output tokens.
Does Yi Large support function calling?
Yi Large 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 Yi Large good for production?
Yi Large 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 Yi Large 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 Yi Large
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.