DeepSeek-V3 vs o3: Detailed Comparison

Choosing between DeepSeek-V3 (DeepSeek) and o3 (OpenAI) comes down to three things: per-token pricing, context window, and which capability matters most for your workload. DeepSeek-V3 costs $0.27/M input vs $2.00/M for o3; context windows are 128K vs 200K tokens. Detailed breakdown below.

Side-by-side specs

SpecDeepSeek-V3o3
ProviderDeepSeekOpenAI
Released2024-12-262025-04-16
Input price $0.27/M $2.00/M
Output price $1.10/M $8.00/M
Cached input $0.0700/M $0.5000/M
Context window 128K 200K
Max output 8K 100K
Modalities text text image
Tokenizer deepseek o200k_base

Capability matrix

CapabilityDeepSeek-V3o3
function calling Yes Yes
json mode Yes Yes
streaming Yes No
vision No Yes
reasoning No Yes

Benchmark comparison

Higher is better for all benchmarks shown.

BenchmarkCategoryDeepSeek-V3o3Δ
MMLU-Pro general 75.9
HumanEval coding 82.6
GPQA Diamond reasoning 83.3
SWE-bench Verified coding 71.7
AIME 2025 math 88.9

Per-call cost on typical workloads

Workload (in/out tokens)DeepSeek-V3o3Cheaper by
Standard chat (1K / 500) $0.000820 $0.006000 DeepSeek-V3 by $0.005180
RAG (4K / 500) $0.001630 $0.012000 DeepSeek-V3 by $0.010370
Long doc (20K / 1K) $0.006500 $0.048000 DeepSeek-V3 by $0.041500
Very long context (100K / 2K) $0.028650 $0.212000 DeepSeek-V3 by $0.183350

When to choose DeepSeek-V3 over o3

  • Per-token input cost is 87% lower — meaningful for high-volume workloads.
  • Supports streaming — o3 does not.

When to choose o3 over DeepSeek-V3

  • Larger context window (200K vs 128K).
  • Supports vision — DeepSeek-V3 does not.
  • Supports reasoning — DeepSeek-V3 does not.

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