o3 vs Command R+: Detailed Comparison

Choosing between o3 (OpenAI) and Command R+ (Cohere) comes down to three things: per-token pricing, context window, and which capability matters most for your workload. o3 costs $2.00/M input vs $2.50/M for Command R+; context windows are 200K vs 128K tokens. Detailed breakdown below.

Side-by-side specs

Speco3Command R+
ProviderOpenAICohere
Released2025-04-162024-04-04
Input price $2.00/M $2.50/M
Output price $8.00/M $10.00/M
Cached input $0.5000/M
Context window 200K 128K
Max output 100K 4K
Modalities text image text
Tokenizer o200k_base cohere

Capability matrix

Capabilityo3Command R+
function calling Yes Yes
json mode Yes Yes
vision Yes No
reasoning Yes No
streaming No Yes
rag No Yes
citations No Yes

Benchmark comparison

Higher is better for all benchmarks shown.

BenchmarkCategoryo3Command R+Δ
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)o3Command R+Cheaper by
Standard chat (1K / 500) $0.006000 $0.007500 o3 by $0.001500
RAG (4K / 500) $0.012000 $0.015000 o3 by $0.003000
Long doc (20K / 1K) $0.048000 $0.060000 o3 by $0.012000
Very long context (100K / 2K) $0.212000 $0.265000 o3 by $0.053000

When to choose o3 over Command R+

  • Per-token input cost is 20% lower — meaningful for high-volume workloads.
  • Larger context window (200K vs 128K) — relevant when whole documents or long histories must fit in a single call.
  • Supports vision — Command R+ does not.
  • Supports reasoning — Command R+ does not.

When to choose Command R+ over o3

  • Supports streaming — o3 does not.
  • Supports rag — o3 does not.
  • Supports citations — o3 does not.

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