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 |
|---|---|---|---|
| 🏆 |
Claude Haiku 5.5
Anthropic
|
$0.012500 (rounded ~ $0.01) Best Value | ↓ 98.9% cheaper |
| 🥈 |
GPT-6 Luna
OpenAI
|
$0.012500 (rounded ~ $0.01) | ↓ 98.9% cheaper |
| 🥉 |
Llama 4 Maverick (400B)
Meta AI
|
$0.016500 (rounded ~ $0.02) | ↓ 98.5% cheaper |
| #4 |
Mistral Small 4
Mistral AI
|
$0.016500 (rounded ~ $0.02) | ↓ 98.5% cheaper |
| #5 |
GPT-5.6 Luna
OpenAI
|
$0.028000 (rounded ~ $0.03) | ↓ 97.5% cheaper |
| #6 |
Grok Code Fast 1
xAI
|
$0.032500 (rounded ~ $0.03) | ↓ 97% cheaper |
| #7 |
Gemini 3.1 Flash Lite
Google
|
$0.035000 (rounded ~ $0.04) | ↓ 96.8% cheaper |
| #8 |
Mistral Large 3
Mistral AI
|
$0.047500 (rounded ~ $0.05) | ↓ 95.7% cheaper |
| #9 |
Gemini 3.5 Flash-Lite
Google
|
$0.052500 (rounded ~ $0.05) | ↓ 95.2% cheaper |
| #10 |
Gemini 2.5 Flash
Google
|
$0.052500 (rounded ~ $0.05) | ↓ 95.2% cheaper |
| #11 |
Gemini 3.1 Flash
Google
|
$0.070000 | ↓ 93.6% cheaper |
| #12 |
Grok Build 0.1
xAI
|
$0.080000 | ↓ 92.7% cheaper |
| #13 |
Gemini 3.8 Flash
Google
|
$0.093750 (rounded ~ $0.09) | ↓ 91.5% cheaper |
| #14 |
Gemini 3.6 Flash
Google
|
$0.093750 (rounded ~ $0.09) | ↓ 91.5% cheaper |
| #15 |
Grok 4.3
xAI
|
$0.100000 | ↓ 90.9% cheaper |
| #16 |
Grok 4.20 Beta
xAI
|
$0.100000 | ↓ 90.9% cheaper |
| #17 |
GPT-5.4 mini
OpenAI
|
$0.105000 (rounded ~ $0.11) | ↓ 90.5% cheaper |
| #18 |
Claude Haiku 4.5
Anthropic
|
$0.125000 (rounded ~ $0.13) | ↓ 88.6% cheaper |
| #19 |
Muse Spark 1.3
Meta AI
|
$0.126250 (rounded ~ $0.13) | ↓ 88.5% cheaper |
| #20 |
Mistral Large 4
Mistral AI
|
$0.130700 | ↓ 88.1% cheaper |
| #21 |
Mistral Medium 3.5
Mistral AI
|
$0.187500 (rounded ~ $0.19) | ↓ 83% cheaper |
| #22 |
Grok 4.7
xAI
|
$0.190000 | ↓ 82.7% cheaper |
| #23 |
Grok 4.6
xAI
|
$0.190000 | ↓ 82.7% cheaper |
| #24 |
Grok 4.5
xAI
|
$0.190000 | ↓ 82.7% cheaper |
| #25 |
Gemini 2.5 Pro
Google
|
$0.212500 (rounded ~ $0.21) | ↓ 80.7% cheaper |
| #26 |
Claude Sonnet 5.5
Anthropic
|
$0.250000 | ↓ 77.3% cheaper |
| #27 |
Claude Sonnet 5
Anthropic
|
$0.250000 | ↓ 77.3% cheaper |
| #28 |
Gemini 4 Argon
Google
|
$0.250000 | ↓ 77.3% cheaper |
| #29 |
GPT-6.1 Sol
OpenAI
|
$0.250000 | ↓ 77.3% cheaper |
| #30 |
GPT-6 Sol
OpenAI
|
$0.250000 | ↓ 77.3% cheaper |
| #31 |
Kimi K3.1 Pro
Moonshot AI
|
$0.250000 | ↓ 77.3% cheaper |
| #32 |
Gemini 3.1 Pro
Google
|
$0.280000 | ↓ 74.5% cheaper |
| #33 |
GPT-5.6 Terra
OpenAI
|
$0.280000 | ↓ 74.5% cheaper |
| #34 |
GPT-5.3 Codex Spark
OpenAI
|
$0.297500 (rounded ~ $0.30) | ↓ 73% cheaper |
| #35 |
GPT-5.3 Instant
OpenAI
|
$0.297500 (rounded ~ $0.30) | ↓ 73% cheaper |
| #36 |
GPT-5.4
OpenAI
|
$0.350000 | ↓ 68.2% cheaper |
| #37 |
GPT-5.4 Thinking
OpenAI
|
$0.350000 | ↓ 68.2% cheaper |
| #38 |
Claude Sonnet 4.6
Anthropic
|
$0.375000 (rounded ~ $0.38) | ↓ 65.9% cheaper |
| #39 |
Kimi K3
Moonshot AI
|
$0.375000 (rounded ~ $0.38) | ↓ 65.9% cheaper |
| #40 |
Claude Opus 5.5
Anthropic
|
$0.500000 | ↓ 54.5% cheaper |
| #41 |
Muse Wonder 1.0
Meta AI
|
$0.500000 | ↓ 54.5% cheaper |
| #42 |
GPT-5.6 Sol
OpenAI
|
$0.500000 | ↓ 54.5% cheaper |
| #43 |
Claude Opus 4.7
Anthropic
|
$0.625000 (rounded ~ $0.63) | ↓ 43.2% cheaper |
| #44 |
Claude Opus 5
Anthropic
|
$0.625000 (rounded ~ $0.63) | ↓ 43.2% cheaper |
| #45 |
Claude Opus 4.8
Anthropic
|
$0.625000 (rounded ~ $0.63) | ↓ 43.2% cheaper |
| #46 |
Claude Opus 4.6
Anthropic
|
$0.625000 (rounded ~ $0.63) | ↓ 43.2% cheaper |
| #47 |
GPT-5.5
OpenAI
|
$0.700000 | ↓ 36.4% cheaper |
| #48 |
GPT-5.5 Instant
OpenAI
|
$0.700000 | ↓ 36.4% cheaper |
| #49 |
Claude Fable 5.1
Anthropic
|
$1.250000 | ↑ 13.6% more |
| #50 |
Claude Mythos 5.1
Anthropic
|
$1.250000 | ↑ 13.6% more |
| #51 |
Claude Fable 5
Anthropic
|
$1.250000 | ↑ 13.6% more |
| #52 |
Claude Mythos 5
Anthropic
|
$1.250000 | ↑ 13.6% more |
| #53 |
GPT-6 Astra
OpenAI
|
$1.250000 | ↑ 13.6% more |
| #54 |
GPT-5.2 Pro
OpenAI
|
$3.570000 | ↑ 224.5% more |
| #55 |
GPT-5.5 Pro
OpenAI
|
$4.200000 | ↑ 281.8% more |
| #56 |
GPT-5.5 Pro
OpenAI
|
$4.200000 | ↑ 281.8% more |
Claude Haiku 5.5 Anthropic
GPT-6 Luna OpenAI
Llama 4 Maverick (400B) Meta AI
Mistral Small 4 Mistral AI
GPT-5.6 Luna OpenAI
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
Grok Build 0.1 xAI
Gemini 3.8 Flash Google
Gemini 3.6 Flash Google
Grok 4.3 xAI
Grok 4.20 Beta xAI
GPT-5.4 mini OpenAI
Claude Haiku 4.5 Anthropic
Muse Spark 1.3 Meta AI
Mistral Large 4 Mistral AI
Mistral Medium 3.5 Mistral AI
Grok 4.7 xAI
Grok 4.6 xAI
Grok 4.5 xAI
Gemini 2.5 Pro Google
Claude Sonnet 5.5 Anthropic
Claude Sonnet 5 Anthropic
Gemini 4 Argon Google
GPT-6.1 Sol OpenAI
GPT-6 Sol OpenAI
Kimi K3.1 Pro Moonshot AI
Gemini 3.1 Pro Google
GPT-5.6 Terra OpenAI
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
GPT-5.4 OpenAI
GPT-5.4 Thinking OpenAI
Claude Sonnet 4.6 Anthropic
Kimi K3 Moonshot AI
Claude Opus 5.5 Anthropic
Muse Wonder 1.0 Meta AI
GPT-5.6 Sol OpenAI
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
Claude Fable 5.1 Anthropic
Claude Mythos 5.1 Anthropic
Claude Fable 5 Anthropic
Claude Mythos 5 Anthropic
GPT-6 Astra 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.