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GPT-4o (2024-11-20) vs Sonar Pro

GPT-4o (2024-11-20) leads Sonar Pro on the Artificial Analysis Intelligence Index, 8.4 to 7.6, and GPT-4o (2024-11-20) costs 1.5x less per output token ($10.00 vs $15.00 per million). Updated October 22, 2026; 1 benchmarks have a result for both.

GPT-4o (2024-11-20)OpenAI
Coding
No data
Overall
No data
Output $/M
$10.00
1
Sonar ProPerplexity
Coding
No data
Overall
No data
Output $/M
$15.00
0
vs boards won of 1 shared

GPT-4o (2024-11-20) or Sonar Pro: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GPT-4o (2024-11-20) for output tokens 1.5x cheaper ($10.00 vs $15.00 per million).

Shared results
1
GPT-4o (2024-11-20) only
23
Sonar Pro only
4
Like-for-like categories
1 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
GPT-4o (2024-11-20) not benchmarked, Sonar Pro not benchmarked.
Widest category
Intelligence, 0.8 points apart on average over 1 shared benchmark.
Widest single gap
AA Intelligence Index: GPT-4o (2024-11-20) 8.4 against Sonar Pro 7.6, 0.8 points apart on a 0 to 100 scale.
Output price
GPT-4o (2024-11-20) $10.00 against Sonar Pro $15.00 per million output tokens, 1.5x apart.
Context window
GPT-4o (2024-11-20) takes 128K tokens, Sonar Pro 200K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGPT-4o (2024-11-20)BarsSonar ProTies
Intelligence10
All shared boards10
CodingDirectional onlySix of these boards feed the Vibe Coding Index6 boards, none shared
Coding benchmarks for GPT-4o (2024-11-20) and Sonar Pro
BenchmarkGPT-4o (2024-11-20)Sonar ProLeader
Aider polyglot18.2%Not measuredOnly GPT-4o (2024-11-20) measured
LiveCodeBench (Vals AI)43.4%Not measuredOnly GPT-4o (2024-11-20) measured
LiveCodeBench (Artificial Analysis run)Not measured27.5%Only Sonar Pro measured
GSO-Bench0.0%Not measuredOnly GPT-4o (2024-11-20) measured
WeirdML25.1%Not measuredOnly GPT-4o (2024-11-20) measured
Cybench12.5%Not measuredOnly GPT-4o (2024-11-20) measured
Neither model has a result on the other 33 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GPT-4o (2024-11-20) and Sonar Pro
BenchmarkGPT-4o (2024-11-20)Sonar ProLeader
AA Intelligence Index8.47.6GPT-4o (2024-11-20)
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for GPT-4o (2024-11-20) and Sonar Pro
BenchmarkGPT-4o (2024-11-20)Sonar ProLeader
TheAgentCompany8.6%Not measuredOnly GPT-4o (2024-11-20) measured
Neither model has a result on the other 40 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Reasoning benchmarks for GPT-4o (2024-11-20) and Sonar Pro
BenchmarkGPT-4o (2024-11-20)Sonar ProLeader
GPQA Diamond53.8%Not measuredOnly GPT-4o (2024-11-20) measured
MMMU Pro (Vals AI)62.2%Not measuredOnly GPT-4o (2024-11-20) measured
GPQA Diamond (Artificial Analysis run)Not measured57.8%Only Sonar Pro measured
Humanity's Last Exam (Artificial Analysis run)Not measured6.6%Only Sonar Pro measured
GPQA Diamond (Epoch AI run)47.9%Not measuredOnly GPT-4o (2024-11-20) measured
VPCT40.0%Not measuredOnly GPT-4o (2024-11-20) measured
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Math benchmarks for GPT-4o (2024-11-20) and Sonar Pro
BenchmarkGPT-4o (2024-11-20)Sonar ProLeader
AIME11.9%Not measuredOnly GPT-4o (2024-11-20) measured
MATH 500 (Vals AI)74.0%Not measuredOnly GPT-4o (2024-11-20) measured
MGSM (Vals AI)90.4%Not measuredOnly GPT-4o (2024-11-20) measured
OTIS Mock AIME6.3%Not measuredOnly GPT-4o (2024-11-20) measured
MATH level 549.8%Not measuredOnly GPT-4o (2024-11-20) measured
Neither model has a result on the other 8 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Knowledge benchmarks for GPT-4o (2024-11-20) and Sonar Pro
BenchmarkGPT-4o (2024-11-20)Sonar ProLeader
MMLU Pro72.6%Not measuredOnly GPT-4o (2024-11-20) measured
LegalBench (Vals AI)82.2%Not measuredOnly GPT-4o (2024-11-20) measured
CaseLaw (Vals AI)59.7%Not measuredOnly GPT-4o (2024-11-20) measured
CorpFin (Vals AI)45.9%Not measuredOnly GPT-4o (2024-11-20) measured
TaxEval (Vals AI)74.5%Not measuredOnly GPT-4o (2024-11-20) measured
MortgageTax (Vals AI)57.4%Not measuredOnly GPT-4o (2024-11-20) measured
MMLU Pro (Artificial Analysis run)Not measured75.5%Only Sonar Pro measured
GeoBench71.0%Not measuredOnly GPT-4o (2024-11-20) measured
Neither model has a result on the other 10 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GPT-4o (2024-11-20) and Sonar Pro
BenchmarkGPT-4o (2024-11-20)Sonar ProLeader
Neither model has a result on 9 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
General benchmarks for GPT-4o (2024-11-20) and Sonar Pro
BenchmarkGPT-4o (2024-11-20)Sonar ProLeader
Creative writing (Lech Mazur)81.8%Not measuredOnly GPT-4o (2024-11-20) measured
Neither model has a result on the other 45 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o (2024-11-20) and Sonar Pro
BenchmarkGPT-4o (2024-11-20)Sonar ProLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GPT-4o (2024-11-20)$0.0075Fits in one request
Sonar Pro$0.011Fits in one request

GPT-4o (2024-11-20) costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-11-20)$0.155Fits in one request
Sonar Pro$0.195Fits in one request

GPT-4o (2024-11-20) costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-11-20)$0.600Exceeds the context window
Sonar Pro$0.750Exceeds the context window

GPT-4o (2024-11-20) costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GPT-4o (2024-11-20) and Sonar Pro
SpecificationOpenAI GPT-4o (2024-11-20)Perplexity Sonar Pro
MakerOpenAIPerplexity
WeightsNo public weights listedNo public weights listed
ReleasedNovember 20, 2024March 7, 2025
Context window128K200K
Input $/Mtok$2.50$3.00
Output $/Mtok$10.00$15.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-11-20) better than Sonar Pro for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4o (2024-11-20) for output tokens 1.5x cheaper ($10.00 vs $15.00 per million).

Which is cheaper, GPT-4o (2024-11-20) or Sonar Pro?

GPT-4o (2024-11-20) costs $2.50 per million input tokens and $10.00 per million output tokens; Sonar Pro costs $3.00 and $15.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4o (2024-11-20) or Sonar Pro?

Sonar Pro, with 200K tokens against 128K.

How many benchmarks is the GPT-4o (2024-11-20) vs Sonar Pro comparison based on?

1 benchmarks have a result for both models as of October 22, 2026. GPT-4o (2024-11-20)'s coding index rests on 0 independent benchmarks and Sonar Pro's on 0. Where only one model has a result, the page says so instead of naming a winner.

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