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AI models compared

Pick two to four models from Anthropic, OpenAI, Google. See their price, context window, and retirement status side by side, and what your workload costs on each. Each model page links every fact to the vendor's own page.

At 10,000 requests a month of 5,000 input and 500 output tokens, the cheapest model here is GPT-6 Luna at about $7.50 a month. The most expensive is Claude Fable 5.1 at about $975. Google lists May 7, 2027 as the earliest possible retirement date for Gemini 3.1 Flash-Lite, and says it will send the exact date later. Google names Gemini 3.5 Flash-Lite as the replacement. Checked 2026-10-21.

Pick 2 to 4 models

3 of 4 picked.

Anthropic
OpenAI
Google

Prices are USD per 1M tokens, standard tier, checked 2026-10-21. Monthly cost uses the workload below.

  • Claude Sonnet 5.5 Anthropic

    Input per 1M
    $2.00
    Output per 1M
    $10
    Monthly cost
    $195
    $20 per 1,000 requests
    Context
    1M
    Retirement
    Active
    Anthropic says not retired before Sep 28, 2027
    API ID:
    claude-sonnet-5-5
    Max output:
    128K
    Inputs:
    Text, Images
    Released:
    Sep 28, 2026
    Knowledge cutoff:
    Jun 2026
  • GPT-6.1 Sol OpenAI

    Input per 1M
    $2.00
    Output per 1M
    $10
    Monthly cost
    $150
    $15 per 1,000 requests
    Context
    1.05M
    Retirement
    Active
    No retirement date listed
    API ID:
    gpt-6.1-sol
    Max output:
    128K
    Inputs:
    Text, Images
    Released:
    Not published
    Knowledge cutoff:
    Apr 30, 2026
  • Gemini 3.8 Flash Google

    Input per 1M
    $0.75
    Output per 1M
    $3.75
    Monthly cost
    $56Cheapest
    $5.63 per 1,000 requests
    Context
    1,048,576
    Retirement
    Active
    No retirement date listed
    API ID:
    gemini-3.8-flash
    Max output:
    65,536
    Inputs:
    Text, Images, Video, Audio, PDF
    Released:
    Sep 2, 2026
    Knowledge cutoff:
    Not published
    From Jan 1, 2027:
    $1.50 in, $7.50 out

Monthly cost estimate

Example sizes are our round numbers. Set your own below.

  • Claude Sonnet 5.5 $195 a month

    $20 per 1,000 requests

  • GPT-6.1 Sol $150 a month

    $15 per 1,000 requests

  • Gemini 3.8 Flash Cheapest $56 a month

    $5.63 per 1,000 requests

List prices checked 2026-10-21, standard tier, no caching, no batch discount. Claude 4.7 and later count about 30% more tokens for the same text, so their rows include that. Long-prompt prices apply where the vendor sets them.

Which model scores higher? Independent benchmarks

Epoch Capabilities Index: Claude Opus 5.5 scores highest of the 17 models here. GPT-6 Astra scores 168.81 against 168.83, well inside Epoch's range, so treat the two as level. GPQA Diamond: Gemini 4 Argon scores highest of the 16 models here. Both charts use scores from Epoch AI, which scores models from every vendor the same way. Checked 2026-10-21.

Epoch Capabilities Index

One score that combines many benchmarks, such as math, science, and coding tests, into a single scale. Epoch sets Claude 3.5 Sonnet at 130 and GPT-5 at 150.

  1. 1. Claude Opus 5.5 Anthropic 168.83

  2. 2. GPT-6 Astra OpenAI 168.81

  3. 3. GPT-6.1 Sol OpenAI 168.37

  4. 4. Claude Fable 5.1 Anthropic 166.49

  5. 5. Gemini 4 Argon Google 166.45

  6. 6. Claude Sonnet 5.5 Anthropic 166.18

  7. 7. GPT-5.6 Sol OpenAI 162.79

  8. 8. GPT-5.6 Terra OpenAI 160.09

  9. 9. Claude Haiku 5.5 Anthropic 159.32

  10. 10. Gemini 3.8 Flash Google 157.44

  11. 11. GPT-6 Luna OpenAI 156.75

  12. 12. GPT-5.6 Luna OpenAI 156.50

  13. 13. Gemini 3.1 Pro (preview) Google 155.34

  14. 14. Claude Sonnet 4.6 Anthropic 152.79

  15. 15. GPT-5.4 mini OpenAI 148.70

  16. 16. Gemini 3.5 Flash-Lite Google 144.91

  17. 17. Gemini 3.1 Flash-Lite Google 144.26

The dot is the score and the line is Epoch's range. The scale runs from 140 to 175, not from zero. Models whose lines overlap a lot are close.

GPQA Diamond

198 hard multiple-choice questions in biology, chemistry, and physics, written by PhD-level experts. Guessing scores 25%. We show the highest score for each model across the reasoning settings Epoch ran.

  1. 1. Gemini 4 Argon Google 96.4%

  2. 2. GPT-6 Astra OpenAI 95.8%

  3. 3. Claude Sonnet 5.5 Anthropic 95.6%

  4. 4. GPT-6.1 Sol OpenAI 95.4%

  5. 4. Gemini 3.8 Flash Google 95.4%

  6. 6. Gemini 3.1 Pro (preview) Google 94.4%

  7. 7. GPT-5.6 Sol OpenAI 93.5%

  8. 8. GPT-5.6 Terra OpenAI 93.3%

  9. 9. GPT-5.6 Luna OpenAI 91.6%

  10. 10. Claude Opus 5.5 Anthropic 90.6%

  11. 11. GPT-6 Luna OpenAI 90.5%

  12. 12. Claude Haiku 5.5 Anthropic 89.6%

  13. 13. Claude Sonnet 4.6 Anthropic 87.4%

  14. 14. GPT-5.4 mini OpenAI 86.9%

  15. 15. Gemini 3.5 Flash-Lite Google 83.3%

  16. 16. Gemini 3.1 Flash-Lite Google 81.8%

Each model's highest score across the reasoning settings Epoch ran. Epoch lists no score for Claude Fable 5.1.

Scores are Epoch AI's, not ours. Source: Epoch AI, Capabilities and benchmarking, from its public data download, checked 2026-10-21. Used under CC BY 4.0. We drew the charts. A benchmark is one test, so run your own inputs before you choose.

Every model in one table

Click a model for its full facts, sources, and a cost calculator. For shutdowns of older models, see our AI model retirement dates calendar. To get a shortlist for a job, try the AI model picker.

Prices are USD per 1M tokens, standard tier. Monthly cost is 10,000 requests of 5,000 input and 500 output tokens. Checked 2026-10-21 on each vendor's own pages.

  • Claude Fable 5.1 Anthropic

    Input per 1M
    $10
    Output per 1M
    $50
    Monthly cost
    $975
    $98 per 1,000 requests
    Context
    1M
    Retirement
    Active
    Anthropic says not retired before Sep 1, 2027
    API ID:
    claude-fable-5-1
    Max output:
    128K
    Inputs:
    Text, Images
    Released:
    Sep 1, 2026
    Knowledge cutoff:
    Jun 2026
  • Claude Opus 5.5 Anthropic

    Input per 1M
    $4.00
    Output per 1M
    $20
    Monthly cost
    $390
    $39 per 1,000 requests
    Context
    1M
    Retirement
    Active
    Anthropic says not retired before Sep 22, 2027
    API ID:
    claude-opus-5-5
    Max output:
    128K
    Inputs:
    Text, Images
    Released:
    Sep 22, 2026
    Knowledge cutoff:
    Jun 2026
  • Claude Sonnet 5.5 Anthropic

    Input per 1M
    $2.00
    Output per 1M
    $10
    Monthly cost
    $195
    $20 per 1,000 requests
    Context
    1M
    Retirement
    Active
    Anthropic says not retired before Sep 28, 2027
    API ID:
    claude-sonnet-5-5
    Max output:
    128K
    Inputs:
    Text, Images
    Released:
    Sep 28, 2026
    Knowledge cutoff:
    Jun 2026
  • Claude Haiku 5.5 Anthropic

    Input per 1M
    $0.10
    Output per 1M
    $0.50
    Monthly cost
    $9.75
    $0.98 per 1,000 requests
    Context
    1M
    Retirement
    Active
    Anthropic says not retired before Oct 7, 2027
    API ID:
    claude-haiku-5-5
    Max output:
    128K
    Inputs:
    Text, Images
    Released:
    Oct 7, 2026
    Knowledge cutoff:
    Jun 2026
  • Claude Sonnet 4.6 Anthropic

    Input per 1M
    $3.00
    Output per 1M
    $15
    Monthly cost
    $225
    $23 per 1,000 requests
    Context
    1M
    Retirement
    Active
    Anthropic says not retired before Feb 17, 2027
    API ID:
    claude-sonnet-4-6
    Max output:
    128K
    Inputs:
    Text, Images
    Released:
    Feb 17, 2026
    Knowledge cutoff:
    Aug 2025
  • GPT-6 Astra OpenAI

    Input per 1M
    $10
    Output per 1M
    $50
    Monthly cost
    $750
    $75 per 1,000 requests
    Context
    1.05M
    Retirement
    Active
    No retirement date listed
    API ID:
    gpt-6-astra
    Max output:
    128K
    Inputs:
    Text, Images
    Released:
    Not published
    Knowledge cutoff:
    Apr 30, 2026
  • GPT-6.1 Sol OpenAI

    Input per 1M
    $2.00
    Output per 1M
    $10
    Monthly cost
    $150
    $15 per 1,000 requests
    Context
    1.05M
    Retirement
    Active
    No retirement date listed
    API ID:
    gpt-6.1-sol
    Max output:
    128K
    Inputs:
    Text, Images
    Released:
    Not published
    Knowledge cutoff:
    Apr 30, 2026
  • GPT-6 Luna OpenAI

    Input per 1M
    $0.10
    Output per 1M
    $0.50
    Monthly cost
    $7.50Cheapest
    $0.75 per 1,000 requests
    Context
    1.05M
    Retirement
    Active
    No retirement date listed
    API ID:
    gpt-6-luna
    Max output:
    128K
    Inputs:
    Text, Images
    Released:
    Not published
    Knowledge cutoff:
    May 18, 2026
  • GPT-5.6 Sol OpenAI

    Input per 1M
    $4.00
    Output per 1M
    $20
    Monthly cost
    $300
    $30 per 1,000 requests
    Context
    1.05M
    Retirement
    Active
    No retirement date listed
    API ID:
    gpt-5.6-sol
    Max output:
    128K
    Inputs:
    Text, Images
    Released:
    Not published
    Knowledge cutoff:
    Feb 16, 2026
  • GPT-5.6 Terra OpenAI

    Input per 1M
    $2.00
    Output per 1M
    $12
    Monthly cost
    $160
    $16 per 1,000 requests
    Context
    1.05M
    Retirement
    Active
    No retirement date listed
    API ID:
    gpt-5.6-terra
    Max output:
    128K
    Inputs:
    Text, Images
    Released:
    Not published
    Knowledge cutoff:
    Feb 16, 2026
  • GPT-5.6 Luna OpenAI

    Input per 1M
    $0.20
    Output per 1M
    $1.20
    Monthly cost
    $16
    $1.60 per 1,000 requests
    Context
    1.05M
    Retirement
    Active
    No retirement date listed
    API ID:
    gpt-5.6-luna
    Max output:
    128K
    Inputs:
    Text, Images
    Released:
    Not published
    Knowledge cutoff:
    Feb 16, 2026
  • GPT-5.4 mini OpenAI

    Input per 1M
    $0.75
    Output per 1M
    $4.50
    Monthly cost
    $60
    $6.00 per 1,000 requests
    Context
    400K
    Retirement
    Active
    No retirement date listed
    API ID:
    gpt-5.4-mini
    Max output:
    128K
    Inputs:
    Text, Images
    Released:
    Not published
    Knowledge cutoff:
    Aug 31, 2025
  • Gemini 4 Argon Google

    Input per 1M
    $2.00
    Output per 1M
    $10
    Monthly cost
    $150
    $15 per 1,000 requests
    Context
    1,048,576
    Retirement
    Active
    No retirement date listed
    API ID:
    gemini-4-argon
    Max output:
    65,536
    Inputs:
    Text, Images, Video, Audio, PDF
    Released:
    Not published
    Knowledge cutoff:
    Not published
    From Dec 1, 2026:
    $4.00 in, $20 out
  • Gemini 3.1 Pro (preview) Google

    Input per 1M
    $2.00
    Output per 1M
    $12
    Monthly cost
    $160
    $16 per 1,000 requests
    Context
    1,048,576
    Retirement
    Active
    No retirement date listed
    API ID:
    gemini-3.1-pro-preview
    Max output:
    65,536
    Inputs:
    Text, Images, Video, Audio, PDF
    Released:
    Feb 19, 2026
    Knowledge cutoff:
    Not published
  • Gemini 3.8 Flash Google

    Input per 1M
    $0.75
    Output per 1M
    $3.75
    Monthly cost
    $56
    $5.63 per 1,000 requests
    Context
    1,048,576
    Retirement
    Active
    No retirement date listed
    API ID:
    gemini-3.8-flash
    Max output:
    65,536
    Inputs:
    Text, Images, Video, Audio, PDF
    Released:
    Sep 2, 2026
    Knowledge cutoff:
    Not published
    From Jan 1, 2027:
    $1.50 in, $7.50 out
  • Gemini 3.5 Flash-Lite Google

    Input per 1M
    $0.30
    Output per 1M
    $2.50
    Monthly cost
    $28
    $2.75 per 1,000 requests
    Context
    1,048,576
    Retirement
    Active
    No retirement date listed
    API ID:
    gemini-3.5-flash-lite
    Max output:
    65,536
    Inputs:
    Text, Images, Video, Audio, PDF
    Released:
    Jul 21, 2026
    Knowledge cutoff:
    Not published
  • Gemini 3.1 Flash-Lite Google

    Input per 1M
    $0.25
    Output per 1M
    $1.50
    Monthly cost
    $20
    $2.00 per 1,000 requests
    Context
    1,048,576
    Retirement
    Earliest retirement May 7, 2027
    Google says this is the earliest possible date and it sends the exact date later
    API ID:
    gemini-3.1-flash-lite
    Max output:
    65,536
    Inputs:
    Text, Images, Video, Audio, PDF
    Released:
    May 7, 2026
    Knowledge cutoff:
    Not published

Common comparisons

How we check

  • Every fact comes from the vendor's own model, pricing, or deprecation page. Each model page links the source next to each fact.
  • If the vendor does not publish a fact, we write "Not published". We never fill a gap with a guess.
  • Costs are list price, standard tier, no caching, no batch discount.
  • Tiers follow where each vendor places the model in its own lineup. They are not a quality score.
  • Benchmark scores come from Epoch AI, not from us or the vendors. We do not run benchmarks ourselves. Test the models on your own inputs before you choose.

Questions clients ask

Short answers, no sales language. If yours isn't here, ask an engineer directly.

Ask us anything
Which AI model API is the cheapest?

Of the 17 models here, GPT-6 Luna costs the least at 10,000 requests a month of 5,000 input and 500 output tokens: about $7.50 a month. Claude Fable 5.1 costs the most, about $975. List prices, checked 2026-10-21.

Which current models are being retired?

Google lists May 7, 2027 as the earliest possible retirement date for Gemini 3.1 Flash-Lite, and says it will send the exact date later. Google names Gemini 3.5 Flash-Lite as the replacement. The other models on this page have no retirement date listed. Older models have their own dates in our retirement calendar.

Which AI model scores highest on benchmarks?

Epoch Capabilities Index: Claude Opus 5.5 scores highest of the 17 models here. GPT-6 Astra scores 168.81 against 168.83, well inside Epoch's range, so treat the two as level. GPQA Diamond: Gemini 4 Argon scores highest of the 16 models here. These are Epoch AI's scores, checked 2026-10-21. Top models sit within a few points of each other, so test them on your own inputs.

Why do Claude rows cost more in the estimator than the price per token suggests?

Anthropic says Claude 4.7 and later models count about 30% more tokens for the same text. The estimator adds that, so you compare the same text, not the same token count.

Where do these numbers come from?

From each vendor's own model pages, pricing pages, and deprecation pages, read on 2026-10-21. If a vendor does not publish a fact, the page says "Not published" instead of guessing.

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