Model
Model explorer
DeepSeek-Coder-V2 236B
OPENDeepSeek · DeepSeek-Coder-V2 family · released Jun 17, 2024
Reached GPT-4-Turbo-level coding (90.2 HumanEval) while expanding language support from 86 to 338 programming languages at 128K context.
ReasoningCodingVisionFunction callingTool useAgentic
1012.1
Elo · rank #210
Parameters
236B
Active params
21B (MoE)
Context
128K tokens
Architecture
MoE transformer, 236B total / 21B active — DeepSeekMoE + MLA, further pretrained from a DeepSeek-V2 checkpoint on 6T additional code/math tokens
License
DeepSeek Model License (code: MIT)
Languages
—
API price (in/out)
$0.14 / $0.28
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
best: GPT-5.2 · 100.0%
best: Tülu 2+DPO 70B · 95.1%
best: Llama 3.1 405B · 96.9%
best: Qwen3-235B-A22B (Non-Thinking) · 96.1%
best: ERNIE 4.5 300B-A47B · 94.3%
best: Qwen3.6-Plus · 93.3%
best: Doubao-1.5-Pro · 90.9%
best: Llama 3.1 405B · 96.8%
best: Claude Opus 4.5 · 99.4%
best: DeepSeek-V4-Pro (Think Max) · 93.5%
best: GPT-5 · 99.4%
best: Llama 3.1 405B · 88.6%
best: Claude Fable 5 · 91.5%
best: OpenAI o3 · 92.9%
best: Hunyuan-Large (A52B) · 9.4
best: Claude Fable 5 · 95.0%
Run it locally
VRAM @ Q4
118 GB
VRAM @ FP16
472 GB
Fits on (Q4)
M3 Ultra 512GBH200 141GBB200 192GB
236B total params exceed a single RTX 4090's 24GB even at 4-bit; requires multi-GPU or CPU/RAM offload
Quantizations
GGUF
API price $0.14/$0.28 · each benchmark row carries its own source badge (see methodology)