DeepSeek
DeepSeek V3.2
DeepSeek-V3.2 is a large language model designed to harmonize high computational efficiency with strong reasoning and agentic tool-use performance. It introduces DeepSeek Sparse Attention (DSA), a fine-grained sparse attention mechanism...
Cost / 1M tokens
Low usage$0.28
input
$0.028
cached input
$0.42
output
Context Window
164K
Up to 66K max output
Modalities
text → text
DeepSeek tokenizer
Quickstart & API
deepseek/deepseek-v3.2Best for & Strengths
Key Strengths
Recommended Workloads in ChatOSS
- Coding agents
- Complex reasoning & debugging
- Open-source AI workflows
Verified Evaluations
Benchmarks & Frontier Comparison
How DeepSeek V3.2 compares against leading open-weight and proprietary frontier models across independent agentic coding and reasoning suites.
| Benchmark (Metric) | DeepSeek V3.2 | DeepSeek V4.1 Flash | GLM 5.3 | Kimi K3.1 Pro | Claude Opus 5.5 |
|---|---|---|---|---|---|
| Agentic & Software Engineering | |||||
| ChatOSS Agentic Coding Index (%) | — | 63.2% | 58.3% | 65% | 74.1% |
| SWE-Bench Verified (%) | — | 91.5% | 95.4% | 94.8% | 97% |
| DeepSWE v1.1 (Pass@1 %) | — | 77% | 69% | 73.5% | 74.2% |
| Vibe Code Bench v1.1 (%) | — | 87.7% | 78.1% | 88.4% | 90.3% |
| Terminal-Bench 4.0 (%) | — | 42.3% | 42% | 46.2% | 65.2% |
| Code Migration (%) | — | 45.6% | 44.2% | 52% | 66.7% |
| Intelligence & Token Economics | |||||
| Artificial Analysis Intelligence Index (0–100) | 21.5 | 39.5 | 44.8 | 55.1 | 57.6 |
| Input Price (/ 1M tokens) | $0.28 | $0.15 | $1.40 | $2.00 | $4.00 |
| Output Price (/ 1M tokens) | $0.42 | $0.60 | $4.40 | $10.00 | $20.00 |
Artificial Analysis Intelligence Index
Artificial Analysis
Design Arena: 3D
Design Arena · Rank #76 (49.4% win)
Design Arena: ASCIIART
Design Arena · Rank #66 (40.5% win)
Design Arena: Code Generation
Design Arena · Rank #82 (49.3% win)
Design Arena: Data Visualization
Design Arena · Rank #79 (48.2% win)
Active Provider Endpoints (11)
Upstream inference providers serving DeepSeek V3.2, with per-provider pricing, context limits, quantization, and 24-hour uptime.
| Provider | Input / 1M | Output / 1M | Cache Read / 1M | Context | Max Output | Quantization | Uptime (24h) |
|---|---|---|---|---|---|---|---|
GMICloudcache gmicloud/fp8 | $0.209 | $0.31 | $0.022 | 164K | 147K | fp8 | 100.0% |
SiliconFlowcache siliconflow/fp8 | $0.259 | $0.80 | $0.14 | 164K | 147K | fp8 | 99.9% |
DeepInfracache deepinfra/fp4 | $0.26 | $0.38 | $0.13 | 164K | 147K | fp4 | 99.1% |
AtlasCloudcache atlas-cloud/fp8 | $0.26 | $0.38 | $0.13 | 164K | 147K | fp8 | 99.9% |
Venicecache venice | $0.268 | $0.39 | $0.13 | 160K | 33K | — | 99.1% |
Baiducache baidu/fp8 | $0.28 | $0.42 | $0.028 | 131K | 66K | fp8 | 99.9% |
DigitalOceancache digitalocean | $0.30 | $0.96 | $0.09 | 164K | 147K | — | 99.6% |
Google google-vertex | $0.56 | $1.68 | — | 164K | 66K | — | 0.0% |
Phalacache phala | $1.00 | $1.00 | $0.50 | 164K | 64K | — | 100.0% |
Mara mara | $3.00 | $4.50 | — | 33K | 7K | — | 100.0% |
SambaNova sambanova | $3.00 | $4.50 | — | 33K | 7K | — | 87.7% |
Supported API Parameters
Parameters accepted by this model when called through ChatOSS or OpenRouter.
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