DeepSeek
DeepSeek R1 (0528)
Released May 28, 2025 · 148B tokens this week · 5 providers
Overview
The refreshed R1 reasoning model, which emits a full chain of thought before answering. Very strong on mathematics and algorithmic problems relative to its price. Expect high completion-token counts, since the thinking is billed as output.
Providers
Reference data — not yet measured from live traffic
| PROVIDER | MAX OUT | OUTPUT /M | QUANT | |||||
|---|---|---|---|---|---|---|---|---|
DeepSeekCheapest | 164K | 66K | $0.50 | $2.15 | 104ms | 46 | 99.30% | Full |
Novita AI | 164K | 66K | $0.53 | $2.26 | 780ms | 70 | 98.50% | fp8 |
Together AI | 164K | 66K | $0.55 | $2.37 | 195ms | 82 | 99.45% | Full |
Fireworks AI | 164K | 66K | $0.57 | $2.45 | 660ms | 96 | 99.50% | Full |
Lambdadegraded | 66K | 66K | $0.59 | $2.54 | 900ms | 52 | 97.90% | fp8 |
Latency p50 reflects a provider’s API endpoint responsiveness — the round-trip to its API, not per-token inference time. These figures, with throughput and uptime, are reference data until the gateway aggregates its own traffic.
Price comparison
Blended $ per 1M tokens
Blended rate per 1M tokens, weighted one part prompt to three parts completion — roughly the shape of a chat workload. Your mix will move the number.
Call it
OpenAI-compatible — swap the base URL and go
curl https://model.cards/api/v1/chat/completions \
-H "Authorization: Bearer $MODELCARDS_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"model": "deepseek/deepseek-r1-0528",
"messages": [
{ "role": "user", "content": "Summarize the tradeoffs of speculative decoding." }
]
}'