o3 Deep Research OpenAI
💰 Total Cost Calculation (from Plugin)
Output: $0.600000
Output: $0.600000
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 50,000 input tokens and 15,000 output tokens:
- Input Cost: $0.500000
- Output Cost: $0.600000
- Total Cost: $1.100000
- Cost per 1K tokens: $0.016923 (rounded ~ $0.02)
- Tokens per dollar: 59,091 tokens
- Context Window: 200000 tokens
Speed & Performance Analysis
With a processing speed of 80 tokens per second and 450ms time to first token:
- Processing Time: 14 minutes, 29.56 seconds
- Latency: 450 milliseconds to first token
- Base Throughput: 80 tokens/second
- Effective Throughput: 75 tokens/second (temperature-adjusted)
Best Use Cases
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← Back to o3 Deep Research| Rank | AI Model & Provider | Total Cost | vs o3 Deep Research |
|---|---|---|---|
| 🏆 |
Mistral Small 3
Mistral AI
|
$0.009500 Best Value | ↓ 99.1% cheaper |
| 🥈 |
Llama 4 Maverick (400B)
Meta AI
|
$0.016500 (rounded ~ $0.02) | ↓ 98.5% cheaper |
| 🥉 |
Grok Code Fast 1
xAI
|
$0.032500 (rounded ~ $0.03) | ↓ 97% cheaper |
| #4 |
Gemini 3.1 Flash Lite
Google
|
$0.035000 (rounded ~ $0.04) | ↓ 96.8% cheaper |
| #5 |
Mistral Large 3
Mistral AI
|
$0.047500 (rounded ~ $0.05) | ↓ 95.7% cheaper |
| #6 |
Gemini 3.5 Flash-Lite
Google
|
$0.052500 (rounded ~ $0.05) | ↓ 95.2% cheaper |
| #7 |
Gemini 2.5 Flash
Google
|
$0.052500 (rounded ~ $0.05) | ↓ 95.2% cheaper |
| #8 |
Gemini 3.1 Flash
Google
|
$0.070000 | ↓ 93.6% cheaper |
| #9 |
Kimi K2.5
Moonshot AI
|
$0.075000 (rounded ~ $0.08) | ↓ 93.2% cheaper |
| #10 |
Grok Build 0.1
xAI
|
$0.080000 | ↓ 92.7% cheaper |
| #11 |
Gemini 3.8 Flash
Google
|
$0.093750 (rounded ~ $0.09) | ↓ 91.5% cheaper |
| #12 |
Grok 4.3
xAI
|
$0.100000 | ↓ 90.9% cheaper |
| #13 |
Grok 4.20 Beta
xAI
|
$0.100000 | ↓ 90.9% cheaper |
| #14 |
GPT-5.4 mini
OpenAI
|
$0.105000 (rounded ~ $0.11) | ↓ 90.5% cheaper |
| #15 |
Kimi K2.6
Moonshot AI
|
$0.107500 (rounded ~ $0.11) | ↓ 90.2% cheaper |
| #16 |
Kimi K2.7 Code
Moonshot AI
|
$0.107500 (rounded ~ $0.11) | ↓ 90.2% cheaper |
| #17 |
o4-mini Deep Research
OpenAI
|
$0.110000 | ↓ 90% cheaper |
| #18 |
o4-mini
OpenAI
|
$0.121000 (rounded ~ $0.12) | ↓ 89% cheaper |
| #19 |
Claude Haiku 4.5
Anthropic
|
$0.125000 (rounded ~ $0.13) | ↓ 88.6% cheaper |
| #20 |
Muse Spark 1.3
Meta AI
|
$0.126250 (rounded ~ $0.13) | ↓ 88.5% cheaper |
| #21 |
GPT-5.6 Luna
OpenAI
|
$0.140000 | ↓ 87.3% cheaper |
| #22 |
Gemini 3.6 Flash
Google
|
$0.187500 (rounded ~ $0.19) | ↓ 83% cheaper |
| #23 |
Grok 4.6
xAI
|
$0.190000 | ↓ 82.7% cheaper |
| #24 |
Grok 4.5
xAI
|
$0.190000 | ↓ 82.7% cheaper |
| #25 |
Gemini 3.5 Flash
Google
|
$0.210000 | ↓ 80.9% cheaper |
| #26 |
Gemini 2.5 Pro
Google
|
$0.212500 (rounded ~ $0.21) | ↓ 80.7% cheaper |
| #27 |
Sonar Deep Research
Perplexity
|
$0.220000 | ↓ 80% cheaper |
| #28 |
Claude Sonnet 5
Anthropic
|
$0.250000 | ↓ 77.3% cheaper |
| #29 |
Gemini 3.1 Pro
Google
|
$0.280000 | ↓ 74.5% cheaper |
| #30 |
GPT-5.3 Codex Spark
OpenAI
|
$0.297500 (rounded ~ $0.30) | ↓ 73% cheaper |
| #31 |
GPT-5.3 Instant
OpenAI
|
$0.297500 (rounded ~ $0.30) | ↓ 73% cheaper |
| #32 |
GPT-5.4
OpenAI
|
$0.350000 | ↓ 68.2% cheaper |
| #33 |
GPT-5.4 Thinking
OpenAI
|
$0.350000 | ↓ 68.2% cheaper |
| #34 |
GPT-5.6 Terra
OpenAI
|
$0.350000 | ↓ 68.2% cheaper |
| #35 |
Claude Sonnet 4.6
Anthropic
|
$0.375000 (rounded ~ $0.38) | ↓ 65.9% cheaper |
| #36 |
Sonar Pro
Perplexity
|
$0.385000 (rounded ~ $0.39) | ↓ 65% cheaper |
| #37 |
Claude Opus 4.7
Anthropic
|
$0.625000 (rounded ~ $0.63) | ↓ 43.2% cheaper |
| #38 |
Claude Opus 5
Anthropic
|
$0.625000 (rounded ~ $0.63) | ↓ 43.2% cheaper |
| #39 |
Claude Opus 4.8
Anthropic
|
$0.625000 (rounded ~ $0.63) | ↓ 43.2% cheaper |
| #40 |
Claude Opus 4.6
Anthropic
|
$0.625000 (rounded ~ $0.63) | ↓ 43.2% cheaper |
| #41 |
GPT-5.5
OpenAI
|
$0.700000 | ↓ 36.4% cheaper |
| #42 |
GPT-5.5 Instant
OpenAI
|
$0.700000 | ↓ 36.4% cheaper |
| #43 |
GPT-5.6 Sol
OpenAI
|
$0.700000 | ↓ 36.4% cheaper |
| #44 |
Claude Fable 5.1
Anthropic
|
$1.250000 | ↑ 13.6% more |
| #45 |
Claude Mythos 5.1
Anthropic
|
$1.250000 | ↑ 13.6% more |
| #46 |
Claude Fable 5
Anthropic
|
$1.250000 | ↑ 13.6% more |
| #47 |
Claude Mythos 5
Anthropic
|
$1.250000 | ↑ 13.6% more |
| #48 |
GPT-6 Astra
OpenAI
|
$1.250000 | ↑ 13.6% more |
| #49 |
o3 Pro
OpenAI
|
$2.200000 | ↑ 100% more |
| #50 |
GPT-5.2 Pro
OpenAI
|
$3.570000 | ↑ 224.5% more |
| #51 |
GPT-5.5 Pro
OpenAI
|
$4.200000 | ↑ 281.8% more |
| #52 |
GPT-5.5 Pro
OpenAI
|
$4.200000 | ↑ 281.8% more |
Mistral Small 3 Mistral AI
Llama 4 Maverick (400B) Meta AI
Grok Code Fast 1 xAI
Gemini 3.1 Flash Lite Google
Mistral Large 3 Mistral AI
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Gemini 3.1 Flash Google
Kimi K2.5 Moonshot AI
Grok Build 0.1 xAI
Gemini 3.8 Flash Google
Grok 4.3 xAI
Grok 4.20 Beta xAI
GPT-5.4 mini OpenAI
Kimi K2.6 Moonshot AI
Kimi K2.7 Code Moonshot AI
o4-mini Deep Research OpenAI
o4-mini OpenAI
Claude Haiku 4.5 Anthropic
Muse Spark 1.3 Meta AI
GPT-5.6 Luna OpenAI
Gemini 3.6 Flash Google
Grok 4.6 xAI
Grok 4.5 xAI
Gemini 3.5 Flash Google
Gemini 2.5 Pro Google
Sonar Deep Research Perplexity
Claude Sonnet 5 Anthropic
Gemini 3.1 Pro Google
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
GPT-5.6 Terra OpenAI
Claude Sonnet 4.6 Anthropic
Sonar Pro Perplexity
Claude Opus 4.7 Anthropic
Claude Opus 5 Anthropic
Claude Opus 4.8 Anthropic
Claude Opus 4.6 Anthropic
GPT-5.5 OpenAI
GPT-5.5 Instant OpenAI
GPT-5.6 Sol OpenAI
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-6 Astra OpenAI
o3 Pro OpenAI
GPT-5.2 Pro OpenAI
GPT-5.5 Pro OpenAI
GPT-5.5 Pro OpenAI
Research paper writing involves more than just drafting; it requires the ability to navigate deep, multi-source literature reviews. The o3 Deep Research model is engineered specifically for this type of investigative workload. Unlike standard models that may struggle to maintain the thread through large volumes of disparate academic papers, o3 Deep Research is optimized for tasks where reasoning depth and multi-step evidence gathering are critical.
For a researcher, this model shines when the goal is to move beyond simple summarization and into true synthesis. It is capable of tracking complex relationships between different studies, identifying contradictions, and building a cohesive narrative grounded in the literature provided. It is particularly valuable during the ‘blank page’ phase of literature reviews, where you need to organize massive amounts of information into a structured outline or a preliminary draft that highlights research gaps.
Because it prioritizes reasoning and deep-context processing, o3 Deep Research reduces the need for manual, iterative prompts that are often required to steer general-purpose models toward academic accuracy. By automating the heavy lifting of synthesizing evidence-based arguments, researchers can reclaim significant time previously spent on manual literature mapping. For teams handling complex, evidence-heavy manuscripts, this model offers a distinct advantage in reliability and thematic consistency, serving as an advanced synthesis engine that keeps the research grounded in the facts presented.