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: $1.010000
- Cost per 1K tokens: $0.015538 (rounded ~ $0.02)
- Tokens per dollar: 64,356 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: 13 minutes, 48.93 seconds
- Latency: 450 milliseconds to first token
- Base Throughput: 80 tokens/second
- Effective Throughput: 78 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
|
$0.011600 (rounded ~ $0.01) Best Value | ↓ 98.9% cheaper |
| 🥈 |
GPT-6 Luna
OpenAI
|
$0.011600 (rounded ~ $0.01) | ↓ 98.9% cheaper |
| 🥉 |
GPT-5.6 Luna
OpenAI
|
$0.026200 (rounded ~ $0.03) | ↓ 97.4% cheaper |
| #4 |
Grok Code Fast 1
xAI
|
$0.030700 | ↓ 97% cheaper |
| #5 |
Gemini 3.1 Flash Lite
Google
|
$0.032750 (rounded ~ $0.03) | ↓ 96.8% cheaper |
| #6 |
Mistral Large 3
Mistral AI
|
$0.043000 (rounded ~ $0.04) | ↓ 95.7% cheaper |
| #7 |
Gemini 3.5 Flash-Lite
Google
|
$0.049800 | ↓ 95.1% cheaper |
| #8 |
Gemini 2.5 Flash
Google
|
$0.049800 | ↓ 95.1% cheaper |
| #9 |
Gemini 3.1 Flash
Google
|
$0.065500 (rounded ~ $0.07) | ↓ 93.5% cheaper |
| #10 |
Grok Build 0.1
xAI
|
$0.071000 (rounded ~ $0.07) | ↓ 93% cheaper |
| #11 |
Gemini 3.8 Flash
Google
|
$0.087000 (rounded ~ $0.09) | ↓ 91.4% cheaper |
| #12 |
Gemini 3.6 Flash
Google
|
$0.087000 (rounded ~ $0.09) | ↓ 91.4% cheaper |
| #13 |
Grok 4.3
xAI
|
$0.088750 (rounded ~ $0.09) | ↓ 91.2% cheaper |
| #14 |
Grok 4.20 Beta
xAI
|
$0.088750 (rounded ~ $0.09) | ↓ 91.2% cheaper |
| #15 |
GPT-5.4 mini
OpenAI
|
$0.098250 (rounded ~ $0.10) | ↓ 90.3% cheaper |
| #16 |
Claude Haiku 4.5
Anthropic
|
$0.116000 (rounded ~ $0.12) | ↓ 88.5% cheaper |
| #17 |
Mistral Large 4
Mistral AI
|
$0.118460 (rounded ~ $0.12) | ↓ 88.3% cheaper |
| #18 |
Grok 4.7
xAI
|
$0.172000 (rounded ~ $0.17) | ↓ 83% cheaper |
| #19 |
Grok 4.6
xAI
|
$0.172000 (rounded ~ $0.17) | ↓ 83% cheaper |
| #20 |
Grok 4.5
xAI
|
$0.172000 (rounded ~ $0.17) | ↓ 83% cheaper |
| #21 |
Gemini 2.5 Pro
Google
|
$0.201250 (rounded ~ $0.20) | ↓ 80.1% cheaper |
| #22 |
Claude Sonnet 5.5
Anthropic
|
$0.231000 (rounded ~ $0.23) | ↓ 77.1% cheaper |
| #23 |
Claude Sonnet 5
Anthropic
|
$0.232000 (rounded ~ $0.23) | ↓ 77% cheaper |
| #24 |
Gemini 4 Argon
Google
|
$0.232000 (rounded ~ $0.23) | ↓ 77% cheaper |
| #25 |
GPT-6.1 Sol
OpenAI
|
$0.232000 (rounded ~ $0.23) | ↓ 77% cheaper |
| #26 |
GPT-6 Sol
OpenAI
|
$0.232000 (rounded ~ $0.23) | ↓ 77% cheaper |
| #27 |
Kimi K3.1 Pro
Moonshot AI
|
$0.233400 (rounded ~ $0.23) | ↓ 76.9% cheaper |
| #28 |
Gemini 3.1 Pro
Google
|
$0.262000 (rounded ~ $0.26) | ↓ 74.1% cheaper |
| #29 |
GPT-5.6 Terra
OpenAI
|
$0.262000 (rounded ~ $0.26) | ↓ 74.1% cheaper |
| #30 |
GPT-5.3 Codex Spark
OpenAI
|
$0.281750 (rounded ~ $0.28) | ↓ 72.1% cheaper |
| #31 |
GPT-5.3 Instant
OpenAI
|
$0.281750 (rounded ~ $0.28) | ↓ 72.1% cheaper |
| #32 |
GPT-5.4
OpenAI
|
$0.327500 (rounded ~ $0.33) | ↓ 67.6% cheaper |
| #33 |
GPT-5.4 Thinking
OpenAI
|
$0.327500 (rounded ~ $0.33) | ↓ 67.6% cheaper |
| #34 |
Claude Sonnet 4.6
Anthropic
|
$0.348000 (rounded ~ $0.35) | ↓ 65.5% cheaper |
| #35 |
Kimi K3
Moonshot AI
|
$0.350100 | ↓ 65.3% cheaper |
| #36 |
Claude Opus 5.5
Anthropic
|
$0.462000 (rounded ~ $0.46) | ↓ 54.3% cheaper |
| #37 |
GPT-5.6 Sol
OpenAI
|
$0.464000 (rounded ~ $0.46) | ↓ 54.1% cheaper |
| #38 |
Muse Wonder 1.0
Meta AI
|
$0.500000 | ↓ 50.5% cheaper |
| #39 |
Claude Opus 4.7
Anthropic
|
$0.580000 | ↓ 42.6% cheaper |
| #40 |
Claude Opus 5
Anthropic
|
$0.580000 | ↓ 42.6% cheaper |
| #41 |
Claude Opus 4.8
Anthropic
|
$0.580000 | ↓ 42.6% cheaper |
| #42 |
Claude Opus 4.6
Anthropic
|
$0.580000 | ↓ 42.6% cheaper |
| #43 |
GPT-5.5
OpenAI
|
$0.655000 (rounded ~ $0.66) | ↓ 35.1% cheaper |
| #44 |
GPT-5.5 Instant
OpenAI
|
$0.655000 (rounded ~ $0.66) | ↓ 35.1% cheaper |
| #45 |
Claude Fable 5.1
Anthropic
|
$1.152500 (rounded ~ $1.15) | ↑ 14.1% more |
| #46 |
Claude Mythos 5.1
Anthropic
|
$1.152500 (rounded ~ $1.15) | ↑ 14.1% more |
| #47 |
Claude Fable 5
Anthropic
|
$1.160000 | ↑ 14.9% more |
| #48 |
Claude Mythos 5
Anthropic
|
$1.160000 | ↑ 14.9% more |
| #49 |
GPT-6 Astra
OpenAI
|
$1.160000 | ↑ 14.9% more |
| #50 |
GPT-5.2 Pro
OpenAI
|
$3.381000 (rounded ~ $3.38) | ↑ 234.8% more |
| #51 |
GPT-5.2 Pro
OpenAI
|
$3.381000 (rounded ~ $3.38) | ↑ 234.8% more |
Claude Haiku 5.5 Anthropic
GPT-6 Luna OpenAI
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
Mistral Large 4 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
GPT-5.6 Sol OpenAI
Muse Wonder 1.0 Meta AI
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-5.2 Pro OpenAI
Automating Citation-Heavy Research Pipelines
For research-focused organizations managing high-volume document pipelines, the integration of deep research capabilities is no longer optional. As literature review workloads grow into the 5M+ token-per-month range, the core challenge shifts from generation speed to citation accuracy and verifiable synthesis.
o3 Deep Research is specifically engineered to address the “citation fabrication” risk inherent in general-purpose models. Unlike standard LLMs that predict the next token based on probable prose, this model is built to retrieve, verify, and ground each claim in real-world academic sources. For recruiters and product teams building AI-assisted research tools, this model offers a distinct advantage: it treats the drafting process as an iterative search and synthesis task rather than a simple text completion exercise.
In practice, this means your research agents can handle 50K-token input blocks with significantly higher confidence. It acts as an autonomous research assistant that not only writes the literature review but also manages the underlying reference library. This architecture reduces the manual verification burden on your researchers, allowing them to focus on high-level conceptual framing rather than auditing generated citations for accuracy.
For SaaS features that require deep, multi-source analysis, o3 Deep Research provides a robust framework that aligns the output with established academic rigor. It is the most reliable choice for workflows where citation precision is the primary measure of quality, especially when scaling complex research assistants for enterprise users.