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GPT-5.2 Chat vs Sonar Deep Research

Updated October 21, 2026. 0 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace GPT-5.2 Chat Replace Sonar Deep Research
GPT-5.2 ChatOpenAI
Coding
No data
Overall
No data
Output $/M
$14.00
Sonar Deep ResearchPerplexity
Coding
No data
Overall
No data
Output $/M
$8.00
vs $14.00 vs $8.00 per 1M output tokens. Sonar Deep Research is 1.8x cheaper.

Decision reading

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

Compare them on price, context and the boards below.

Model AGPT-5.2 ChatOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BSonar Deep ResearchPerplexityNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
0
GPT-5.2 Chat only
0
Sonar Deep Research only
0
Like-for-like categories
0 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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-5.2 Chat not benchmarked, Sonar Deep Research not benchmarked.
Widest category
No category has a result for both models.
Widest single gap
No benchmark has a result for both models.
Output price
GPT-5.2 Chat $14.00 against Sonar Deep Research $8.00 per million output tokens, 1.8x apart.
Context window
Both take 128K tokens.

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.

CodingNot comparableSix of these boards feed the Vibe Coding Index0 boards, none shared
Coding benchmarks for GPT-5.2 Chat and Sonar Deep Research
BenchmarkGPT-5.2 ChatSonar Deep ResearchLeader
Neither model has a result on 38 boards here
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Intelligence benchmarks for GPT-5.2 Chat and Sonar Deep Research
BenchmarkGPT-5.2 ChatSonar Deep ResearchLeader
Neither model has a result on 2 boards here
Agentic workNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Agentic work benchmarks for GPT-5.2 Chat and Sonar Deep Research
BenchmarkGPT-5.2 ChatSonar Deep ResearchLeader
Neither model has a result on 39 boards here
ReasoningNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Reasoning benchmarks for GPT-5.2 Chat and Sonar Deep Research
BenchmarkGPT-5.2 ChatSonar Deep ResearchLeader
Neither model has a result on 21 boards here
MathNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Math benchmarks for GPT-5.2 Chat and Sonar Deep Research
BenchmarkGPT-5.2 ChatSonar Deep ResearchLeader
Neither model has a result on 13 boards here
KnowledgeNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Knowledge benchmarks for GPT-5.2 Chat and Sonar Deep Research
BenchmarkGPT-5.2 ChatSonar Deep ResearchLeader
Neither model has a result on 17 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GPT-5.2 Chat and Sonar Deep Research
BenchmarkGPT-5.2 ChatSonar Deep ResearchLeader
Neither model has a result on 9 boards here
GeneralNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
General benchmarks for GPT-5.2 Chat and Sonar Deep Research
BenchmarkGPT-5.2 ChatSonar Deep ResearchLeader
Neither model has a result on 46 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-5.2 Chat and Sonar Deep Research
BenchmarkGPT-5.2 ChatSonar Deep ResearchLeader
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-5.2 Chat$0.0088Fits in one request
Sonar Deep Research$0.0060Fits in one request

Sonar Deep Research costs less

Repository review

50K input + 3K output tokens

GPT-5.2 Chat$0.130Fits in one request
Sonar Deep Research$0.124Fits in one request

Sonar Deep Research costs less

Agent loop

200K input + 10K output tokens

GPT-5.2 Chat$0.490Exceeds the context window
Sonar Deep Research$0.480Exceeds the context window

Sonar Deep Research 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-5.2 Chat and Sonar Deep Research
SpecificationOpenAI GPT-5.2 ChatPerplexity Sonar Deep Research
MakerOpenAIPerplexity
WeightsNo public weights listedNo public weights listed
ReleasedDecember 10, 2025March 7, 2025
Context window128K128K
Input $/Mtok$1.75$2.00
Output $/Mtok$14.00$8.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.2 Chat better than Sonar Deep Research for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GPT-5.2 Chat or Sonar Deep Research?

GPT-5.2 Chat costs $1.75 per million input tokens and $14.00 per million output tokens; Sonar Deep Research costs $2.00 and $8.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-5.2 Chat or Sonar Deep Research?

Neither: both take 128K tokens.

How many benchmarks is the GPT-5.2 Chat vs Sonar Deep Research comparison based on?

0 benchmarks have a result for both models as of October 21, 2026. GPT-5.2 Chat's coding index rests on 0 independent benchmarks and Sonar Deep Research's on 0. Where only one model has a result, the page says so instead of naming a winner.

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