DeepSeek OCR Maas
Google Vertex AI ocr Deprecated 14d agomodel fallback routing to swap models without code changes.
DeepSeek OCR Maas is a Google Vertex AI OCR model.Input is priced at $0.300/M tokens and output at $1.20/M tokens. Route DeepSeek OCR Maas via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate DeepSeek OCR Maas spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $0.3000/M input · $1.20/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 | $0.300/M | |
| Output | $1.20/M | |
| Blended (3:1 in:out) | $0.525/M Cross-model comparable price |
Context & limits
- Context window
- —
- Max input
- —
- Max output
- —
- 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
Strengths & caveats — when to pick DeepSeek OCR Maas
Data-driven from DeepSeek OCR Maas's percentile within ocr peers.
Where it's strong
Watch out for
- !already deprecated — provider stopped accepting new traffic 14 days ago
Benchmarks pending
We haven't logged public benchmark scores for DeepSeek OCR Maas yet. Have one to contribute? Submit a source — citations help us prioritise.
Call DeepSeek OCR Maas 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.# DeepSeek OCR Maas 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="vertex-ai/deepseek-ai-deepseek-ocr-maas",
messages=[{"role": "user", "content": "Hello, DeepSeek OCR Maas!"}],
)
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="vertex-ai/deepseek-ai-deepseek-ocr-maas",
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
DeepSeek OCR Maas 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.
FAQ
How much does DeepSeek OCR Maas cost?
Input is priced at $0.300 per 1M tokens and output at $1.20 per 1M tokens (Google Vertex AI, last verified Oct 22, 2026).
What is the context window of DeepSeek OCR Maas?
Context window for DeepSeek OCR Maas is not currently public.
Does DeepSeek OCR Maas support function calling?
DeepSeek OCR Maas 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 DeepSeek OCR Maas good for production?
DeepSeek OCR Maas 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 DeepSeek OCR Maas 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 DeepSeek OCR Maas
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.