DeepSeek
DeepSeek V3.2
Released Sep 29, 2025 · 573B tokens this week · 5 providers
Overview
A sparse-attention update to the V3 line that cut long-context serving costs dramatically. It folds chat and reasoning modes into one checkpoint and is among the best value-for-quality models available. A frequent choice for cost-sensitive production traffic.
Providers
Reference data — not yet measured from live traffic
| PROVIDER | MAX OUT | OUTPUT /M | QUANT | |||||
|---|---|---|---|---|---|---|---|---|
DeepSeekCheapest | 164K | 66K | $0.27 | $0.40 | 104ms | 58 | 99.40% | Full |
Novita AI | 164K | 66K | $0.29 | $0.42 | 640ms | 88 | 98.60% | fp8 |
Together AI | 164K | 66K | $0.30 | $0.45 | 195ms | 105 | 99.50% | Full |
Fireworks AI | 164K | 66K | $0.31 | $0.46 | 520ms | 128 | 99.55% | Full |
SambaNova | 66K | 66K | $0.32 | $0.47 | 380ms | 240 | 99.20% | Full |
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-v3.2",
"messages": [
{ "role": "user", "content": "Summarize the tradeoffs of speculative decoding." }
]
}'