Orivel Orivel
Open menu

AI Pricing Comparison & Best Value Ranking

Compare AI models by both price and performance in one place. This page helps you quickly understand 1M-token pricing, key differences between models, and which options offer strong overall value. If you want to choose an AI without focusing on performance alone, start here.

Contents

For Those Who Want to Compare AI by Both Price and Performance

When choosing an AI, performance alone can make costs heavier than expected, while price alone may lead to disappointing results depending on the task. This page organizes AI models from both angles using public pricing information and Orivel benchmark data.

Instead of looking only at the cheapest official pricing, you can also review cost under conditions closer to actual comparisons and see which models remain attractively priced relative to their performance. If you want to find an AI that fits your priorities, this page is meant to be a practical starting point.

AI Models with the Lowest Official Pricing

Here, AI models are compared using official pricing information published by their providers. It is useful for anyone who first wants to understand the public price table and get a rough sense of API pricing levels.

Even when a model looks inexpensive on paper, output tokens may grow quickly or billing conditions may vary depending on usage. For that reason, this section is meant to show which models look affordable based on official pricing tables alone.

If you want a simple first pass, start here to understand the price range, then review measured cost and performance-to-cost as well.

#1

GPT-6 Luna
OpenAI
Standard short-context pricing basis

Input

$0.10

Output

$0.50

Source: Official pricing

Last checked: 2026-09-24

Notes:
Show more ▼

Standard short-context text token pricing is used as the basis. Prompts over 272K input tokens are billed at $0.20 input and $0.75 output per 1M for the whole request. The price is below the model it replaced in this slot, on both input and output. Cached input ($0.01 per 1M), batch and flex tiers, and fast mode are excluded from the main comparison.

Basis: Standard text pricing / Per 1M tokens / Non-batch / Non-cached

Standard paid tier for text, image and video

Input

$0.30

Output

$2.50

Source: Official pricing

Last checked: 2026-09-09

Notes:
Show more ▼

Standard paid tier for text, image and video. Audio pricing, context caching, storage, grounding and Maps charges are excluded from the main comparison.

Basis: Standard text pricing / Per 1M tokens / Non-batch / Non-cached

#3

Gemini 3.8 Flash
Google
Promotional rate through 2026-12-31; doubles 2027-01-01

Input

$0.75

Output

$3.75

Source: Official pricing

Last checked: 2026-09-09

Notes:
Show more ▼

Standard paid tier for text, image and video. This rate runs through December 31, 2026; from January 1, 2027 it doubles to $1.50 input / $7.50 output per 1M tokens. Audio pricing, context caching, storage, grounding and Maps charges are excluded from the main comparison.

Basis: Standard text pricing / Per 1M tokens / Non-batch / Non-cached

#4

GPT-6.1 Sol
OpenAI

Input

$2.00

Output

$10.00

Source: Official pricing

Last checked: 2026-10-11

Notes:
Show more ▼

Basis: Standard text pricing / Per 1M tokens / Non-batch / Non-cached

#5

Claude Sonnet 5.5
Anthropic

Input

$2.00

Output

$10.00

Source: Official pricing

Last checked: 2026-10-11

Notes:
Show more ▼

Basis: Standard text pricing / Per 1M tokens / Non-batch / Non-cached

#6

Claude Opus 5.5
Anthropic
Cache hits at 5% of input; 1M context at standard pricing

Input

$4.00

Output

$20.00

Source: Official pricing

Last checked: 2026-09-24

Notes:
Show more ▼

Base input and output pricing is used as the basis. The full 1M-token context window is treated as standard pricing. Pricing is 20% below the model it replaced in this slot. Cache hits cost 5% of the base input price ($0.20 per 1M), half the usual 10%. Cache writes, cache hits, and batch pricing are excluded from the main comparison. Fast mode pricing ($8 input / $40 output per 1M tokens) is also excluded.

Basis: Standard text pricing / Per 1M tokens / Non-batch / Non-cached

#7

GPT-6 Astra
OpenAI
Standard short-context pricing basis

Input

$10.00

Output

$50.00

Source: Official pricing

Last checked: 2026-09-09

Notes:
Show more ▼

Standard short-context text token pricing is used as the basis. Prompts over 272K input tokens are billed at 2x input and 1.5x output for the whole request. Cached input ($1 per 1M), batch and flex tiers, and fast mode are excluded from the main comparison.

Basis: Standard text pricing / Per 1M tokens / Non-batch / Non-cached

#8

Claude Fable 5.1
Anthropic
1M context; premium frontier tier

Input

$10.00

Output

$50.00

Source: Official pricing

Last checked: 2026-09-03

Notes:
Show more ▼

Base input and output pricing is used as the basis. The full 1M-token context window is treated as standard pricing. Pricing reflects the frontier tier, several times Anthropic's balanced model. Cache writes, cache hits, and batch pricing are excluded from the main comparison.

Basis: Standard text pricing / Per 1M tokens / Non-batch / Non-cached

AI Models with the Lowest Measured Cost

This section estimates cost using the token usage actually observed under Orivel comparison conditions. Even with the same instruction, models can differ in how many input and output tokens they use, so official pricing alone does not always show the real cost feel.

By calculating costs from token usage recorded in Orivel comparisons, this view helps you see costs under conditions closer to actual side-by-side testing. It can reveal differences that are easy to miss from official pricing alone, such as models with low listed pricing but larger outputs, or models with slightly higher pricing but lower total measured cost.

These figures are not guarantees of real-world spending, but they can be a useful comparison axis when a simple pricing table is not enough.

Measured costs come from snapshot 2026-W42 (as of 2026-10-16): the tokens each model actually used on its answers and debates, at official prices.

Measured Cost for Task Answers

Average measured cost per answer, calculated from recorded input and output tokens under Orivel task comparison conditions.

#1

GPT-6 Luna
OpenAI

Avg. input cost

$0.0001

Avg. output cost

$0.0010

Avg. total cost

$0.0011

#3

Gemini 3.8 Flash
Google

Avg. input cost

$0.0005

Avg. output cost

$0.0033

Avg. total cost

$0.0038

#4

GPT-6.1 Sol
OpenAI

Avg. input cost

$0.0014

Avg. output cost

$0.0117

Avg. total cost

$0.0131

#5

Claude Sonnet 5.5
Anthropic

Avg. input cost

$0.0028

Avg. output cost

$0.0277

Avg. total cost

$0.0305

#6

Claude Opus 5.5
Anthropic

Avg. input cost

$0.0057

Avg. output cost

$0.0497

Avg. total cost

$0.0554

Measured Cost for Discussions

Average measured cost per discussion, calculated by combining opening, rebuttal, and closing turns for each participant.

#1

GPT-6 Luna
OpenAI

Avg. input cost

$0.0005

Avg. output cost

$0.0009

Avg. total cost

$0.0014

#3

Gemini 3.8 Flash
Google

Avg. input cost

$0.0035

Avg. output cost

$0.0058

Avg. total cost

$0.0093

#4

GPT-6.1 Sol
OpenAI

Avg. input cost

$0.0095

Avg. output cost

$0.0161

Avg. total cost

$0.0256

#5

Claude Sonnet 5.5
Anthropic

Avg. input cost

$0.0173

Avg. output cost

$0.0290

Avg. total cost

$0.0463

#6

Claude Opus 5.5
Anthropic

Avg. input cost

$0.0357

Avg. output cost

$0.0581

Avg. total cost

$0.0938

AI Models with the Best Overall Value

This section highlights AI models that stand out when price and performance are considered together. The goal is not to rank only the cheapest models, but to surface models that are easier to keep cost-efficient while still delivering useful quality.

A high-end model will not always rank best for value, and the cheapest model will not always be the most practical choice. In reality, the best candidates tend to be models that stay balanced across use case fit, output quality, stability, and benchmark results on Orivel.

This ranking combines the same average score used on the rankings page with an average measured cost that is specific to this pricing page.

Weight settings

You can adjust how much weight to place on performance and cost. Changing that balance also changes the value metric and the ranking order.

The default is 60% performance and 40% cost. The two weights do not need to add up to exactly 100. The entered ratio is applied automatically.

Calculation: Average score = the same value as on the rankings page.

Average measured cost = the average of the task average measured total cost and the discussion average measured total cost.

The value metric first converts average score and average measured cost to the same 0-100 scale within the current comparison set. Higher average score becomes more favorable, while lower average measured cost becomes more favorable. The final value metric is the weighted combination of those two values.

For example, if you choose 60% for performance and 40% for cost, the value metric reflects that balance directly. Average score and average measured cost are not added directly because they use different units.

Ranking order is determined by higher value metrics. The table also shows the same average score used in rankings and the actual average measured cost for reference.

Only models with both average-score data and measured-cost data for task answers and discussions are included.

#1

GPT-6.1 Sol
OpenAI

Average score

9.00

Average measured cost

$0.0193

Value metric

90.1

#2

Gemini 3.8 Flash
Google

Average score

8.34

Average measured cost

$0.0066

Value metric

80.2

#3

GPT-6 Luna
OpenAI

Average score

8.21

Average measured cost

$0.0012

Value metric

79.8

#4

Claude Sonnet 5.5
Anthropic

Average score

8.58

Average measured cost

$0.0384

Value metric

69.0

#5

Claude Opus 5.5
Anthropic

Average score

8.86

Average measured cost

$0.0746

Value metric

56.4

Important Notes

The pricing information on this page is organized from official provider information, but prices can change without notice. Before making a decision, please also review the latest information on each provider's official page.

Actual AI cost can vary depending on prompt content, output length, enabled features, long-context usage, caching behavior, and other billing conditions. Even with the same instruction, token usage does not always match across models, so a perfectly fair comparison cannot be made from pricing alone.

Measured cost on Orivel is a reference value calculated from token usage under Orivel comparison conditions. It does not guarantee the cost of your own business or personal usage. Results can differ depending on prompts, environment, response length, and operational setup.

A lower price also does not automatically mean a model is the best fit for you. Priorities differ across writing, summarization, idea generation, long-form work, coding, and other tasks. It is best to review price alongside Orivel's comparison results and use-case-specific pages.

Pricing Sources

The pricing information on this page is organized from official pricing pages and official documentation for AI models listed on Orivel. Because pricing and conditions may change, please also check each official source directly for the latest details.

Related Links

X f L