OpenAI · frontier · Released 2026-04-07

o3 Reasoning: pricing, context window and benchmarks

o3 Reasoning is a frontier model from OpenAI. It offers a 200,000-token context window, costs $18.07 per million input tokens and $70.65 per million output tokens, and averages 85.3 across the index's benchmark suite.

frontierreasoningcodingvisionlong contextmultimodal
Input price
$18.07
per 1M tokens
Output price
$70.65
per 1M tokens
Context
200,000
tokens
Avg score
85.3
rank #44 of 600
Arena Elo
1456.9
modelled
Max output
16,384
tokens

Pricing

o3 Reasoning costs $18.07 per million input tokens and $70.65 per million output tokens. A blended 3:1 input-to-output mix works out to about $31.22 per million tokens. Cached input is listed at $2.50 per million tokens.

ItemPriceNotes
Input$18.07per 1M tokens
Output$70.65per 1M tokens
Cached input$2.50per 1M tokens
Blended 3:1$31.22estimate per 1M tokens
1M in + 1M out$88.72estimate

Benchmarks

Scores below are modelled estimates on a 0–100 scale. Use them to compare relative position, not as official vendor results.

BenchmarkScoreRankPercentileRelative
MMLU-Pro 87.7 22 96th
GPQA Diamond 79.6 66 89th
SWE-bench Verified 74.1 51 92th
HumanEval 91.3 30 95th
MATH-500 92.0 21 97th
AIME 2025 80.5 81 87th
LiveCodeBench 82.7 18 97th
IFEval 90.6 62 90th
TruthfulQA 86.5 44 93th
HellaSwag 90.9 65 89th
MMMU 82.3 31 95th
Arena Elo 1456.9 60 90th

What o3 Reasoning is good for

o3 Reasoning sits in the frontier tier of the index. It is aimed at work where answer quality matters more than unit cost: hard reasoning, multi-step coding, document analysis and multimodal inputs. At $18.07 per million input tokens and a 200,000-token context window, it is a premium option, so reserve it for tasks where a cheaper model measurably fails.

Strengths

  • Top-tier average benchmark score (85.3), placing it #44 of 600.
  • Large 200,000-token context window for long documents and agent traces.
  • Accepts more than text, including image input where the provider supports it.
  • Reasoning-oriented profile, useful for multi-step problems and structured analysis.
  • Coding benchmarks are a relative strength within its tier.

Trade-offs

  • Proprietary licence: you cannot download the weights or self-host the model.
  • Premium input pricing at $18.07 per million tokens.
  • Cost can climb quickly on long outputs and high-volume traffic.

How it compares

ModelProviderContextInput / 1MAvg score
Gemini 3 Pro Vision Google DeepMind 200000 $17.59 85.5
Grok 4 Pro xAI 1000000 $19.00 85.4
o4 OpenAI 2000000 $17.74 85.4
o3 Reasoning OpenAI 200000 $18.07 85.3
GPT-4.1 Pro OpenAI 400000 $17.56 85.2
Gemini 3 Flash Max Google DeepMind 1000000 $17.43 85.0

Browse all comparisons →

FAQ

How much does o3 Reasoning cost?

o3 Reasoning is listed at $18.07 per million input tokens and $70.65 per million output tokens. Cached input is $2.50 per million tokens. A blended 3:1 input-to-output mix is about $31.22 per million tokens.

What is the context window of o3 Reasoning?

o3 Reasoning has a context window of 200,000 tokens and can emit up to 16,384 output tokens per request in this index.

Is o3 Reasoning open weights?

No. o3 Reasoning is a proprietary model with a proprietary licence, so you cannot download the weights.

How does o3 Reasoning score on benchmarks?

o3 Reasoning averages 85.3 across the scored benchmarks in this index, ranking #44 of 600 models. Its strongest relative result is LiveCodeBench at 82.7.

What is o3 Reasoning best for?

o3 Reasoning sits in the frontier tier of the index. It is aimed at work where answer quality matters more than unit cost: hard reasoning, multi-step coding, document analysis and multimodal inputs. At $18.07 per million input tokens and a 200,000-token context window, it is a premium option, so reserve it for tasks where a cheaper model measurably fails.

Related