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GPT-4o (2024-05-13) vs GPT-5.6 Sol Pro

GPT-4o (2024-05-13) costs 1.3x less per output token than GPT-5.6 Sol Pro ($15.00 vs $20.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace GPT-4o (2024-05-13) Replace GPT-5.6 Sol Pro
GPT-4o (2024-05-13)OpenAI
Coding
No data
Overall
27.1
Output $/M
$15.00
GPT-5.6 Sol ProOpenAI
Coding
No data
Overall
No data
Output $/M
$20.00
vs $15.00 vs $20.00 per 1M output tokens. GPT-4o (2024-05-13) is 1.3x cheaper.

GPT-4o (2024-05-13) or GPT-5.6 Sol Pro: which to pick

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

Pick GPT-4o (2024-05-13) for output tokens 1.3x cheaper ($15.00 vs $20.00 per million).

Model AGPT-4o (2024-05-13)OpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-5.6 Sol ProOpenAINot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. GPT-4o (2024-05-13) has results on AA Coding Index, LiveCodeBench (Artificial Analysis run) and LMArena Text: coding; GPT-5.6 Sol Pro on WeirdML, APEX-Agents and SimpleBench. Compare them on price and context instead.

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 (2024-05-13) not benchmarked, GPT-5.6 Sol Pro not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
GPT-4o (2024-05-13) $15.00 against GPT-5.6 Sol Pro $20.00 per million output tokens, 1.3x apart.
Context window
GPT-4o (2024-05-13) takes 128K tokens, GPT-5.6 Sol Pro 1.05M.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index5 boards measured
Coding benchmarks for GPT-4o (2024-05-13) and GPT-5.6 Sol Pro
BenchmarkGPT-4o (2024-05-13)GPT-5.6 Sol ProLeader
AA Coding Index24.2Not measuredOnly GPT-4o (2024-05-13) measured
LiveCodeBench (Artificial Analysis run)33.4%Not measuredOnly GPT-4o (2024-05-13) measured
WeirdMLNot measured89.4%Only GPT-5.6 Sol Pro measured
LMArena Text: coding1297Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: software and IT1297Not measuredOnly GPT-4o (2024-05-13) measured
Neither model has a result on the other 38 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for GPT-4o (2024-05-13) and GPT-5.6 Sol Pro
BenchmarkGPT-4o (2024-05-13)GPT-5.6 Sol ProLeader
AA Intelligence Index7.3Not measuredOnly GPT-4o (2024-05-13) measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Agentic work benchmarks for GPT-4o (2024-05-13) and GPT-5.6 Sol Pro
BenchmarkGPT-4o (2024-05-13)GPT-5.6 Sol ProLeader
APEX-AgentsNot measured51.4%Only GPT-5.6 Sol Pro measured
METR time horizons40.8%Not measuredOnly GPT-4o (2024-05-13) measured
BALROG32.3%Not measuredOnly GPT-4o (2024-05-13) measured
Neither model has a result on the other 39 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index9 boards measured
Reasoning benchmarks for GPT-4o (2024-05-13) and GPT-5.6 Sol Pro
BenchmarkGPT-4o (2024-05-13)GPT-5.6 Sol ProLeader
GPQA Diamond50.2%Not measuredOnly GPT-4o (2024-05-13) measured
GPQA Diamond (Artificial Analysis run)52.6%Not measuredOnly GPT-4o (2024-05-13) measured
Humanity's Last Exam (Artificial Analysis run)1.8%Not measuredOnly GPT-4o (2024-05-13) measured
GPQA Diamond (Epoch AI run)48.9%Not measuredOnly GPT-4o (2024-05-13) measured
SimpleBenchNot measured71.7%Only GPT-5.6 Sol Pro measured
Chess puzzlesNot measured68.0%Only GPT-5.6 Sol Pro measured
LMArena Text: hard prompts1281Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: expert1250Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: hard prompts in English1293Not measuredOnly GPT-4o (2024-05-13) measured
Neither model has a result on the other 14 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Math benchmarks for GPT-4o (2024-05-13) and GPT-5.6 Sol Pro
BenchmarkGPT-4o (2024-05-13)GPT-5.6 Sol ProLeader
OTIS Mock AIME6.3%Not measuredOnly GPT-4o (2024-05-13) measured
FrontierMath, tier 4Not measured80.5%Only GPT-5.6 Sol Pro measured
MATH level 551.0%Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: math1284Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: mathematical work1284Not measuredOnly GPT-4o (2024-05-13) measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
Knowledge benchmarks for GPT-4o (2024-05-13) and GPT-5.6 Sol Pro
BenchmarkGPT-4o (2024-05-13)GPT-5.6 Sol ProLeader
MMLU Pro (Artificial Analysis run)74.0%Not measuredOnly GPT-4o (2024-05-13) measured
MMLU84.2%Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: science1295Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: medicine and healthcare1278Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: legal and government1314Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: business and finance1262Not measuredOnly GPT-4o (2024-05-13) measured
Neither model has a result on the other 14 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index22 boards measured
General benchmarks for GPT-4o (2024-05-13) and GPT-5.6 Sol Pro
BenchmarkGPT-4o (2024-05-13)GPT-5.6 Sol ProLeader
DTBenchNot measured96.0%Only GPT-5.6 Sol Pro measured
LMCANot measured59.2%Only GPT-5.6 Sol Pro measured
LMArena Text1300Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: instruction following1278Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: creative writing1291Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Vision1137Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: English1312Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: non-English1283Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: Chinese1277Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: German1283Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: Japanese1257Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: Korean1234Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: French1304Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: Spanish1292Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: Russian1285Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: Polish1365Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: multi-turn1302Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: longer queries1288Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: writing and language1298Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Text: entertainment and media1289Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Vision: English1147Not measuredOnly GPT-4o (2024-05-13) measured
LMArena Vision: Chinese1132Not measuredOnly GPT-4o (2024-05-13) measured
Neither model has a result on the other 26 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 (2024-05-13)$0.013Fits in one request
GPT-5.6 Sol Pro$0.014Fits in one request

GPT-4o (2024-05-13) costs less

Repository review

50K input + 3K output tokens

GPT-4o (2024-05-13)$0.295Fits in one request
GPT-5.6 Sol Pro$0.260Fits in one request

GPT-5.6 Sol Pro costs less

Agent loop

200K input + 10K output tokens

GPT-4o (2024-05-13)$1.15Exceeds the context window
GPT-5.6 Sol Pro$1.00Fits in one request

GPT-5.6 Sol Pro 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 (2024-05-13) and GPT-5.6 Sol Pro
SpecificationOpenAI GPT-4o (2024-05-13)OpenAI GPT-5.6 Sol Pro
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedMay 13, 2024July 9, 2026
Context window128K1.05M
Input $/Mtok$5.00$4.00
Output $/Mtok$15.00$20.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o (2024-05-13) better than GPT-5.6 Sol Pro for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4o (2024-05-13) for output tokens 1.3x cheaper ($15.00 vs $20.00 per million).

Which is cheaper, GPT-4o (2024-05-13) or GPT-5.6 Sol Pro?

GPT-4o (2024-05-13) costs $5.00 per million input tokens and $15.00 per million output tokens; GPT-5.6 Sol Pro costs $4.00 and $20.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4o (2024-05-13) or GPT-5.6 Sol Pro?

GPT-5.6 Sol Pro, with 1.05M tokens against 128K.

Has any benchmark tested both GPT-4o (2024-05-13) and GPT-5.6 Sol Pro?

No benchmark has tested both yet. GPT-4o (2024-05-13) has results on AA Coding Index, LiveCodeBench (Artificial Analysis run) and LMArena Text: coding; GPT-5.6 Sol Pro on WeirdML, APEX-Agents and SimpleBench. Compare them on price and context instead. Data as of October 22, 2026.

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