Grok 4.6 xAI
💰 Total Cost Calculation (from Plugin)
Output: $0.006000 (rounded ~ $0.01)
Output: $0.006000 (rounded ~ $0.01)
Unit: $0.000000
Fees: $0.000000
Detailed Cost Analysis (from Plugin)
For 15,000 input tokens and 1,000 output tokens:
- Input Cost: $0.030000
- Output Cost: $0.006000 (rounded ~ $0.01)
- Total Cost: $0.030600
- Cost per 1K tokens: $0.001913
- Tokens per dollar: 522,876 tokens
- Context Window: 500000 tokens
Speed & Performance Analysis
With a processing speed of 95 tokens per second and 200ms time to first token:
- Processing Time: 2 minutes, 53.65 seconds
- Latency: 200 milliseconds to first token
- Base Throughput: 95 tokens/second
- Effective Throughput: 92 tokens/second (temperature-adjusted)
Best Use Cases
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← Back to Grok 4.6| Rank | AI Model & Provider | Total Cost | vs Grok 4.6 |
|---|---|---|---|
| 🏆 |
Claude Haiku 5.5
Anthropic
|
$0.001730 Best Value | ↓ 94.3% cheaper |
| 🥈 |
GPT-6 Luna
OpenAI
|
$0.001730 | ↓ 94.3% cheaper |
| 🥉 |
GPT-5.6 Luna
OpenAI
|
$0.003660 | ↓ 88% cheaper |
| #4 |
Grok Code Fast 1
xAI
|
$0.003960 | ↓ 87.1% cheaper |
| #5 |
Gemini 3.1 Flash Lite
Google
|
$0.004575 | ↓ 85% cheaper |
| #6 |
Gemini 3.5 Flash-Lite
Google
|
$0.006190 (rounded ~ $0.01) | ↓ 79.8% cheaper |
| #7 |
Gemini 2.5 Flash
Google
|
$0.006190 (rounded ~ $0.01) | ↓ 79.8% cheaper |
| #8 |
Mistral Large 3
Mistral AI
|
$0.007650 (rounded ~ $0.01) | ↓ 75% cheaper |
| #9 |
Gemini 3.1 Flash
Google
|
$0.009150 | ↓ 70.1% cheaper |
| #10 |
Gemini 3.8 Flash
Google
|
$0.012975 (rounded ~ $0.01) | ↓ 57.6% cheaper |
| #11 |
Gemini 3.6 Flash
Google
|
$0.012975 (rounded ~ $0.01) | ↓ 57.6% cheaper |
| #12 |
GPT-5.4 mini
OpenAI
|
$0.013725 (rounded ~ $0.01) | ↓ 55.1% cheaper |
| #13 |
Grok Build 0.1
xAI
|
$0.014300 (rounded ~ $0.01) | ↓ 53.3% cheaper |
| #14 |
Claude Haiku 4.5
Anthropic
|
$0.017300 (rounded ~ $0.02) | ↓ 43.5% cheaper |
| #15 |
Grok 4.3
xAI
|
$0.017875 (rounded ~ $0.02) | ↓ 41.6% cheaper |
| #16 |
Grok 4.20 Beta
xAI
|
$0.017875 (rounded ~ $0.02) | ↓ 41.6% cheaper |
| #17 |
Mistral Large 4
Mistral AI
|
$0.020908 | ↓ 31.7% cheaper |
| #18 |
Gemini 2.5 Pro
Google
|
$0.025375 (rounded ~ $0.03) | ↓ 17.1% cheaper |
| #19 |
Grok 4.7
xAI
|
$0.030600 | Same price |
| #20 |
Grok 4.5
xAI
|
$0.030600 | Same price |
| #21 |
Claude Sonnet 5.5
Anthropic
|
$0.034300 (rounded ~ $0.03) | ↑ 12.1% more |
| #22 |
Claude Sonnet 5
Anthropic
|
$0.034600 (rounded ~ $0.03) | ↑ 13.1% more |
| #23 |
Gemini 4 Argon
Google
|
$0.034600 (rounded ~ $0.03) | ↑ 13.1% more |
| #24 |
GPT-6.1 Sol
OpenAI
|
$0.034600 (rounded ~ $0.03) | ↑ 13.1% more |
| #25 |
GPT-6 Sol
OpenAI
|
$0.034600 (rounded ~ $0.03) | ↑ 13.1% more |
| #26 |
Kimi K3.1 Pro
Moonshot AI
|
$0.035020 (rounded ~ $0.04) | ↑ 14.4% more |
| #27 |
GPT-5.3 Codex Spark
OpenAI
|
$0.035525 (rounded ~ $0.04) | ↑ 16.1% more |
| #28 |
GPT-5.3 Instant
OpenAI
|
$0.035525 (rounded ~ $0.04) | ↑ 16.1% more |
| #29 |
Gemini 3.1 Pro
Google
|
$0.036600 (rounded ~ $0.04) | ↑ 19.6% more |
| #30 |
GPT-5.6 Terra
OpenAI
|
$0.036600 (rounded ~ $0.04) | ↑ 19.6% more |
| #31 |
GPT-5.4
OpenAI
|
$0.045750 (rounded ~ $0.05) | ↑ 49.5% more |
| #32 |
GPT-5.4 Thinking
OpenAI
|
$0.045750 (rounded ~ $0.05) | ↑ 49.5% more |
| #33 |
Claude Sonnet 4.6
Anthropic
|
$0.051900 (rounded ~ $0.05) | ↑ 69.6% more |
| #34 |
Kimi K3
Moonshot AI
|
$0.052530 (rounded ~ $0.05) | ↑ 71.7% more |
| #35 |
Claude Opus 5.5
Anthropic
|
$0.068600 (rounded ~ $0.07) | ↑ 124.2% more |
| #36 |
GPT-5.6 Sol
OpenAI
|
$0.069200 | ↑ 126.1% more |
| #37 |
Muse Wonder 1.0
Meta AI
|
$0.080000 | ↑ 161.4% more |
| #38 |
Claude Opus 4.7
Anthropic
|
$0.086500 (rounded ~ $0.09) | ↑ 182.7% more |
| #39 |
Claude Opus 5
Anthropic
|
$0.086500 (rounded ~ $0.09) | ↑ 182.7% more |
| #40 |
Claude Opus 4.8
Anthropic
|
$0.086500 (rounded ~ $0.09) | ↑ 182.7% more |
| #41 |
Claude Opus 4.6
Anthropic
|
$0.086500 (rounded ~ $0.09) | ↑ 182.7% more |
| #42 |
GPT-5.5
OpenAI
|
$0.091500 (rounded ~ $0.09) | ↑ 199% more |
| #43 |
GPT-5.5 Instant
OpenAI
|
$0.091500 (rounded ~ $0.09) | ↑ 199% more |
| #44 |
Claude Fable 5.1
Anthropic
|
$0.170750 | ↑ 458% more |
| #45 |
Claude Mythos 5.1
Anthropic
|
$0.170750 | ↑ 458% more |
| #46 |
Claude Fable 5
Anthropic
|
$0.173000 (rounded ~ $0.17) | ↑ 465.4% more |
| #47 |
Claude Mythos 5
Anthropic
|
$0.173000 (rounded ~ $0.17) | ↑ 465.4% more |
| #48 |
GPT-6 Astra
OpenAI
|
$0.173000 (rounded ~ $0.17) | ↑ 465.4% more |
| #49 |
GPT-5.2 Pro
OpenAI
|
$0.426300 (rounded ~ $0.43) | ↑ 1293.1% more |
| #50 |
GPT-5.2 Pro
OpenAI
|
$0.426300 (rounded ~ $0.43) | ↑ 1293.1% 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
Gemini 3.5 Flash-Lite Google
Gemini 2.5 Flash Google
Mistral Large 3 Mistral AI
Gemini 3.1 Flash Google
Gemini 3.8 Flash Google
Gemini 3.6 Flash Google
GPT-5.4 mini OpenAI
Grok Build 0.1 xAI
Claude Haiku 4.5 Anthropic
Grok 4.3 xAI
Grok 4.20 Beta xAI
Mistral Large 4 Mistral AI
Gemini 2.5 Pro Google
Grok 4.7 xAI
Grok 4.5 xAI
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
GPT-5.3 Codex Spark OpenAI
GPT-5.3 Instant OpenAI
Gemini 3.1 Pro Google
GPT-5.6 Terra 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
Leveraging Reasoning Models for Complex Data
Financial statement extraction requires a high degree of precision and the ability to parse complex, structured data accurately. For solo founders, the choice of model is often the difference between a prototype that works and a product that scales. Grok 4.6 is positioned as a reasoning-heavy model that excels at these types of technical, high-stakes extraction tasks, offering a robust foundation for building specialized financial analysis tools.
At an input volume of 15K tokens, you need a model that doesn’t just read the text, but understands the relationships between the numbers, line items, and qualitative notes. Grok 4.6 brings strong reasoning capabilities to the table, which are particularly beneficial when your RAG system needs to disambiguate similar entries or perform multi-step analysis on a balance sheet or income statement. By utilizing a model with advanced reasoning, you can often simplify your retrieval pipeline, as the model itself handles more of the heavy lifting during the analysis phase.
Beyond raw performance, the decision to use a reasoning-capable model like Grok 4.6 often simplifies your architecture. You may find that you need less complex prompt engineering and fewer auxiliary calls to verify the output, as the model maintains coherence over the entire 15K-token input window. For solo founders who need to move quickly, this level of reliability can be a key differentiator, allowing you to focus on product features and user growth rather than troubleshooting extraction failures.