- Chart data
- Gemini 3.8 Flash vs. Other Models
Gemini 3.8 Flash vs. Other Models
The numbers behind a chart Google published, redrawn natively. Check the original, study the data, then make your own.
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Drawn by us from the numbers below. Hover, tap or use the arrow keys.A simplified redraw: it shows the numbers in our own look, not the look of the original. One accent marks what the chart is about. Values marked with ~ in the table are estimates.
The numbers
First 10 of 102 points are free| Group | Series | Value | Source | Conf. |
|---|---|---|---|---|
| Input price $/1M tokens, no caching | Gemini 3.8 Flash | 0.75 | Estimate | 0.97 |
| Input price $/1M tokens, no caching | Gemini 3.7 Flash | 0.75 | Estimate | 0.97 |
| Input price $/1M tokens, no caching | Claude Opus 5 | 5 | Estimate | 0.97 |
| Input price $/1M tokens, no caching | Claude Sonnet 5 | 2 | Estimate | 0.97 |
| Input price $/1M tokens, no caching | GPT-5.6 Sol | 4 | Estimate | 0.97 |
| Input price $/1M tokens, no caching | GPT-5.6 Terra | 2 | Estimate | 0.97 |
| Output price $/1M tokens | Gemini 3.8 Flash | 3.75 | Estimate | 0.97 |
| Output price $/1M tokens | Gemini 3.7 Flash | 3.75 | Estimate | 0.97 |
| Output price $/1M tokens | Claude Opus 5 | 25 | Estimate | 0.97 |
| Output price $/1M tokens | Claude Sonnet 5 | 10 | Estimate | 0.97 |
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| Output price $/1M tokens | GPT-5.6 Sol | 20 | Estimate | 0.97 |
|---|---|---|---|---|
| Output price $/1M tokens | GPT-5.6 Terra | 12 | Estimate | 0.97 |
| DeepSWE v1.1 Long-horizon software engineering | Gemini 3.8 Flash | 73.7 | Estimate | 0.97 |
| DeepSWE v1.1 Long-horizon software engineering | Gemini 3.7 Flash | 65.3 | Estimate | 0.97 |
| DeepSWE v1.1 Long-horizon software engineering | Claude Opus 5 | 74 | Estimate | 0.97 |
| DeepSWE v1.1 Long-horizon software engineering | Claude Sonnet 5 | 53.8 | Estimate | 0.97 |
| DeepSWE v1.1 Long-horizon software engineering | GPT-5.6 Sol | 72.7 | Estimate | 0.97 |
| DeepSWE v1.1 Long-horizon software engineering | GPT-5.6 Terra | 69.6 | Estimate | 0.97 |
| GDPVal-AA v2 Vals Finance Agent v2 | Gemini 3.8 Flash | ~15.45 | Estimate | 0.50 |
| GDPVal-AA v2 Vals Finance Agent v2 | Gemini 3.7 Flash | ~14.82 | Estimate | 0.50 |
| GDPVal-AA v2 Vals Finance Agent v2 | Claude Opus 5 | ~18.24 | Estimate | 0.50 |
| GDPVal-AA v2 Vals Finance Agent v2 | Claude Sonnet 5 | ~15.84 | Estimate | 0.50 |
| GDPVal-AA v2 Vals Finance Agent v2 | GPT-5.6 Sol | ~17.1 | Estimate | 0.50 |
| GDPVal-AA v2 Vals Finance Agent v2 | GPT-5.6 Terra | ~15.28 | Estimate | 0.50 |
| Harvey's Legal Agent Benchmark Complex legal workflows | Gemini 3.8 Flash | ~61.4 | Estimate | 0.30 |
| Harvey's Legal Agent Benchmark Complex legal workflows | Gemini 3.7 Flash | ~59 | Estimate | 0.30 |
| Harvey's Legal Agent Benchmark Complex legal workflows | Claude Opus 5 | ~58.6 | Estimate | 0.30 |
| Harvey's Legal Agent Benchmark Complex legal workflows | Claude Sonnet 5 | ~53.9 | Estimate | 0.30 |
| Harvey's Legal Agent Benchmark Complex legal workflows | GPT-5.6 Sol | ~53.8 | Estimate | 0.30 |
| Harvey's Legal Agent Benchmark Complex legal workflows | GPT-5.6 Terra | ~54.4 | Estimate | 0.30 |
| Terminal-bench 2.1 Agentic terminal coding | Gemini 3.8 Flash | ~10 | Estimate | 0.30 |
| Terminal-bench 2.1 Agentic terminal coding | Gemini 3.7 Flash | ~8.8 | Estimate | 0.30 |
| Terminal-bench 2.1 Agentic terminal coding | Claude Opus 5 | ~6.7 | Estimate | 0.30 |
| Terminal-bench 2.1 Agentic terminal coding | Claude Sonnet 5 | ~5 | Estimate | 0.30 |
| Terminal-bench 2.1 Agentic terminal coding | GPT-5.6 Sol | ~2.5 | Estimate | 0.30 |
| Terminal-bench 2.1 Agentic terminal coding | GPT-5.6 Terra | ~0.8 | Estimate | 0.30 |
| Terminal-bench 4.0 Agentic terminal coding | Gemini 3.8 Flash | ~89.1 | Estimate | 0.30 |
| Terminal-bench 4.0 Agentic terminal coding | Gemini 3.7 Flash | ~19.1 | Estimate | 0.30 |
| Terminal-bench 4.0 Agentic terminal coding | Claude Opus 5 | ~11.2 | Estimate | 0.30 |
| Terminal-bench 4.0 Agentic terminal coding | Claude Sonnet 5 | ~51.8 | Estimate | 0.30 |
| Terminal-bench 4.0 Agentic terminal coding | GPT-5.6 Sol | ~80.4 | Estimate | 0.30 |
| Terminal-bench 4.0 Agentic terminal coding | GPT-5.6 Terra | ~87.4 | Estimate | 0.30 |
| GDP-PDF Expert PDF document comprehension | Gemini 3.8 Flash | ~35 | Estimate | 0.50 |
| GDP-PDF Expert PDF document comprehension | Gemini 3.7 Flash | ~34 | Estimate | 0.50 |
| GDP-PDF Expert PDF document comprehension | Claude Opus 5 | ~37 | Estimate | 0.50 |
| GDP-PDF Expert PDF document comprehension | Claude Sonnet 5 | ~28 | Estimate | 0.50 |
| GDP-PDF Expert PDF document comprehension | GPT-5.6 Sol | ~40 | Estimate | 0.50 |
| GDP-PDF Expert PDF document comprehension | GPT-5.6 Terra | ~29 | Estimate | 0.50 |
| CharXiv Reasoning | Gemini 3.8 Flash | ~86.2 | Estimate | 0.30 |
| CharXiv Reasoning | Gemini 3.7 Flash | ~84.5 | Estimate | 0.30 |
| CharXiv Reasoning | Claude Opus 5 | ~83.7 | Estimate | 0.30 |
| CharXiv Reasoning | Claude Sonnet 5 | ~70.1 | Estimate | 0.30 |
| CharXiv Reasoning | GPT-5.6 Sol | ~85.8 | Estimate | 0.30 |
| CharXiv Reasoning | GPT-5.6 Terra | ~85.9 | Estimate | 0.30 |
| HLE-Verified Multidisciplinary expert reasoning | Gemini 3.8 Flash | ~87.8 | Estimate | 0.30 |
| HLE-Verified Multidisciplinary expert reasoning | Gemini 3.7 Flash | ~87.1 | Estimate | 0.30 |
| HLE-Verified Multidisciplinary expert reasoning | Claude Opus 5 | ~53.6 | Estimate | 0.30 |
| HLE-Verified Multidisciplinary expert reasoning | Claude Sonnet 5 | ~54.4 | Estimate | 0.30 |
| HLE-Verified Multidisciplinary expert reasoning | GPT-5.6 Sol | ~68.5 | Estimate | 0.30 |
| HLE-Verified Multidisciplinary expert reasoning | GPT-5.6 Terra | ~82.1 | Estimate | 0.30 |
| HLE-Verified Multidisciplinary expert reasoning | Gemini 3.8 Flash | ~54.9 | Estimate | 0.50 |
| HLE-Verified Multidisciplinary expert reasoning | Gemini 3.7 Flash | ~53.6 | Estimate | 0.50 |
| HLE-Verified Multidisciplinary expert reasoning | Claude Opus 5 | ~54.4 | Estimate | 0.50 |
| HLE-Verified Multidisciplinary expert reasoning | Claude Sonnet 5 | ~31 | Estimate | 0.50 |
| HLE-Verified Multidisciplinary expert reasoning | GPT-5.6 Sol | ~54.5 | Estimate | 0.50 |
| HLE-Verified Multidisciplinary expert reasoning | GPT-5.6 Terra | ~51.1 | Estimate | 0.50 |
| OSWorld-2.0 Agentic computer use | Gemini 3.8 Flash | 59 | Estimate | 0.97 |
| OSWorld-2.0 Agentic computer use | Gemini 3.7 Flash | 50.6 | Estimate | 0.97 |
| OSWorld-2.0 Agentic computer use | Claude Opus 5 | 75.4 | Estimate | 0.97 |
| OSWorld-2.0 Agentic computer use | Claude Sonnet 5 | 42.6 | Estimate | 0.97 |
| OSWorld-2.0 Agentic computer use | GPT-5.6 Sol | 62.6 | Estimate | 0.97 |
| OSWorld-2.0 Agentic computer use | GPT-5.6 Terra | 50.2 | Estimate | 0.97 |
| BioMysteryBench Bioinformatics research workflows | Gemini 3.8 Flash | 88.8 | Estimate | 0.97 |
| BioMysteryBench Bioinformatics research workflows | Gemini 3.7 Flash | 87.1 | Estimate | 0.97 |
| BioMysteryBench Bioinformatics research workflows | Claude Opus 5 | ~90.1 | Estimate | 0.30 |
| BioMysteryBench Bioinformatics research workflows | Claude Sonnet 5 | ~87.5 | Estimate | 0.30 |
| BioMysteryBench Bioinformatics research workflows | GPT-5.6 Sol | 79.5 | Estimate | 0.97 |
| BioMysteryBench Bioinformatics research workflows | GPT-5.6 Terra | 83.8 | Estimate | 0.97 |
| LABBench2 Biology real-world research tasks | Gemini 3.8 Flash | 56.5 | Estimate | 0.97 |
| LABBench2 Biology real-world research tasks | Gemini 3.7 Flash | 43.5 | Estimate | 0.97 |
| LABBench2 Biology real-world research tasks | Claude Opus 5 | 49.4 | Estimate | 0.97 |
| LABBench2 Biology real-world research tasks | Claude Sonnet 5 | 34.1 | Estimate | 0.97 |
| LABBench2 Biology real-world research tasks | GPT-5.6 Sol | 44.7 | Estimate | 0.97 |
| LABBench2 Biology real-world research tasks | GPT-5.6 Terra | 49.4 | Estimate | 0.97 |
| LABBench2 Biology real-world research tasks | Gemini 3.8 Flash | 86.2 | Estimate | 0.97 |
| LABBench2 Biology real-world research tasks | Gemini 3.7 Flash | 82.1 | Estimate | 0.97 |
| LABBench2 Biology real-world research tasks | Claude Opus 5 | 84.2 | Estimate | 0.97 |
| LABBench2 Biology real-world research tasks | Claude Sonnet 5 | 80.1 | Estimate | 0.97 |
| LABBench2 Biology real-world research tasks | GPT-5.6 Sol | 82.1 | Estimate | 0.97 |
| LABBench2 Biology real-world research tasks | GPT-5.6 Terra | 81.2 | Estimate | 0.97 |
| Vals Finance Agent v2 Financial analyst tasks | Gemini 3.8 Flash | ~61.4 | Estimate | 0.50 |
| GDPR PDF Expert PDF document comprehension | Gemini 3.8 Flash | ~86.2 | Estimate | 0.50 |
| Vals Finance Agent v2 Financial analyst tasks | Gemini 3.7 Flash | ~59 | Estimate | 0.50 |
| GDPR PDF Expert PDF document comprehension | Gemini 3.7 Flash | ~84.5 | Estimate | 0.50 |
| Vals Finance Agent v2 Financial analyst tasks | Claude Opus 5 | ~58.6 | Estimate | 0.50 |
| GDPR PDF Expert PDF document comprehension | Claude Opus 5 | ~83.7 | Estimate | 0.50 |
| Vals Finance Agent v2 Financial analyst tasks | Claude Sonnet 5 | ~53.9 | Estimate | 0.50 |
| GDPR PDF Expert PDF document comprehension | Claude Sonnet 5 | ~28 | Estimate | 0.50 |
| Vals Finance Agent v2 Financial analyst tasks | GPT-5.6 Sol | ~53.8 | Estimate | 0.50 |
| GDPR PDF Expert PDF document comprehension | GPT-5.6 Sol | ~40 | Estimate | 0.50 |
| Vals Finance Agent v2 Financial analyst tasks | GPT-5.6 Terra | ~52.8 | Estimate | 0.50 |
| GDPR PDF Expert PDF document comprehension | GPT-5.6 Terra | ~29 | Estimate | 0.50 |
Max subscribers get the same data by API. API docs
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Use this chart via API
On the Max plan you can pull this chart's numbers with the provenance of each one, as JSON or CSV, with its redraw spec, or call it from an agent over MCP. Chart id 9aed29b885a8.
| Path | Returns | Plan | |
|---|---|---|---|
| GET | /api/v1/charts/9aed29b885a8 | Title, publisher, date, form, point count; with a Max key, the data link | Open |
| GET | /api/v1/charts/9aed29b885a8/data | Every point with its provenance and confidence, plus the redraw spec. Add ?format=csv for CSV | Max |
| GET | /api/v1/charts/9aed29b885a8/render?view=1 | The draw-only view this page uses | Open |
| POST | /mcp | Tool get_chart_data with this id, for Claude, Cursor and other agents | Max |
curl -s https://viral-chart.com/api/v1/charts/9aed29b885a8/data \
-H "Authorization: Bearer $VIRALCHART_KEY"claude mcp add --transport http viralchart https://viral-chart.com/mcp \
--header "Authorization: Bearer $VIRALCHART_KEY"60 requests a minute per key; over that you get 429 with Retry-After. Up to 5 keys per account, made on your account page and shown once. Without Max, the data route answers 402 with a link to the plans. The numbers describe a chart its publisher owns, and every file carries a license note.
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How accurate are these numbers?
They are estimated from the image by two independent passes, with confidence 0.62 on a 0 to 1 scale. Printed numbers read well; values read off an axis can be a few percent off.
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The numbers describe a chart that Google published. The image, layout and styling belong to them. Use the numbers with a credit to the publisher, and make your picture from your own data.
How do I get the file?
The JSON, CSV and agent skill file are under the email gate on this page. In this prototype they are static files at /api/charts/9aed29b885a8.json and /api/charts/9aed29b885a8.skill.md.