DeepSeek's previous-generation flagship and the #3 model on Kyma by tokens served — the stable, proven choice for frontier-open quality at balanced pricing.
Modalities
Text → Text
Input
$0.351 /1M
Output
$0.513 /1M
Context
160K
Speed
medium
Performance
Live production data from real requests on Kyma — not synthetic benchmarks.
Rank
#4
of 87 active models
Tokens served
180.2M
all-time
Success rate
98%
last 7 days
Top apps using this model
Public apps sending the most traffic to this model — a signal of what real workloads it fits.
Pricing
Pay per token. Cached input is billed at 10% of the input rate.
+ Estimate your workload− Estimate your workload
Estimated monthly cost
$28.75
$0.9585 / day on DeepSeek V3
Same workload on:
Estimates use list pricing. Actual bills depend on real token counts — every response includes its exact cost.
When to use DeepSeek V3
Where this model earns its cost — and where it doesn't.
DeepSeek V3 is the previous-generation flagship from DeepSeek, built for reasoning, coding, and general-purpose work. It sits in Kyma's frontier-open quality tier, and its appeal is exactly what the label says: stable and proven — a fit for teams that value predictable behavior over chasing the latest checkpoint.
On Kyma it ranks third of 62 models by production tokens, serving over 166 million tokens (8.3% of platform traffic) across 18,500+ requests at a 100% success rate. OpenClaw is its top application by tokens, followed by Python and Node.js apps. Every request gets the platform's automatic failover, and each response reports its exact cost in usage.cost.
The 160K-token context window pairs with function calling, structured outputs, and extended reasoning, so it can run multi-step agent loops, not just single-turn chat. It sits in the frontier-open tier as the value pick — see the pricing table above for the current rate.
Coding agents
Its top production app on Kyma by tokens is OpenClaw, a coding agent — code generation, review, and refactoring inside agent harnesses.
Reasoning pipelines
Extended reasoning support handles analysis and planning tasks that need more than pattern matching.
Cost-conscious production
Frontier-open quality at balanced pricing makes it a sensible default for high-volume general workloads where value matters.
Structured extraction
Structured outputs plus the 160K context let it pull reliable JSON from long documents and codebases in one pass.
Tool-calling backends
Function calling support makes it a dependable engine behind Python and Node.js services that orchestrate tools.
Not ideal for: Image inputs (it's text-only), latency-critical UX where its medium speed tier shows, or single responses longer than the 8K output cap.
How it compares
Against the peers people actually weigh it against.
| Spec | DeepSeek V3 | DeepSeek V4 Pro | DeepSeek V4 Flash |
|---|---|---|---|
| Input /1M | $0.351 | $0.6901 | $0.187 |
| Output /1M | $0.513 | $1.38 | $0.3741 |
| Context | 160K | 1M | 1M |
| Tools | Yes | Yes | Yes |
| Reasoning | Yes | Yes | Yes |
| Speed | medium | medium | fast |
Quick start
Up and running in under two minutes.
- 1
Create an API key
Sign up and grab a key from the dashboard — $0.50 free credit, no card required.
Get API key → - 2
Make your first request
Drop in your key and send a chat completion — fully OpenAI-compatible.
curl https://kymaapi.com/v1/chat/completions \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "deepseek-v3", "messages": [ {"role": "user", "content": "Explain prompt caching in one paragraph."} ] }' - 3
Stream responses
Add
"stream": trueto receive tokens as they arrive.curl https://kymaapi.com/v1/chat/completions \ -H "Authorization: Bearer YOUR_API_KEY" \ -H "Content-Type: application/json" \ -d '{ "model": "deepseek-v3", "stream": true, "messages": [{"role": "user", "content": "Hello!"}] }'
FAQ
Common questions about this model.
What is the context window of DeepSeek V3?
How much does the DeepSeek V3 API cost?
Does DeepSeek V3 support function calling?
How do I use DeepSeek V3?
Is DeepSeek V3 good for coding?
Why pick a previous-generation flagship over something newer?
Why use DeepSeek V3 through Kyma?
More models by DeepSeek
| Model | Context | Input | Output |
|---|---|---|---|
DeepSeek V4 Flash | 1M | $0.187 | $0.3741 |
DeepSeek V4 Pro | 1M | $0.6901 | $1.38 |
DeepSeek R1 | 64K | $0.7309 | $2.957 |
