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GPT-3.5 Turbo 16k vs GPT-5.5 Pro

GPT-3.5 Turbo 16k costs 45.0x less per output token than GPT-5.5 Pro ($4.00 vs $180.00 per million). Updated October 23, 2026; no benchmark has tested both models yet.

Replace GPT-3.5 Turbo 16k Replace GPT-5.5 Pro
GPT-3.5 Turbo 16kOpenAI
Coding
No data
Overall
No data
Output $/M
$4.00
GPT-5.5 ProOpenAI
Coding
No data
Overall
No data
Output $/M
$180.00
vs $4.00 vs $180.00 per 1M output tokens. GPT-3.5 Turbo 16k is 45.0x cheaper.

GPT-3.5 Turbo 16k or GPT-5.5 Pro: which to pick

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

Pick GPT-3.5 Turbo 16k for output tokens 45.0x cheaper ($4.00 vs $180.00 per million).

Model AGPT-3.5 Turbo 16kOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-5.5 ProOpenAINot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. GPT-3.5 Turbo 16k has none yet; GPT-5.5 Pro on Epoch Capabilities Index, ARC-AGI and ARC-AGI-2. 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-3.5 Turbo 16k not benchmarked, GPT-5.5 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-3.5 Turbo 16k $4.00 against GPT-5.5 Pro $180.00 per million output tokens, 45.0x apart.
Context window
GPT-3.5 Turbo 16k takes 16K tokens, GPT-5.5 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.

IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for GPT-3.5 Turbo 16k and GPT-5.5 Pro
BenchmarkGPT-3.5 Turbo 16kGPT-5.5 ProLeader
Epoch Capabilities IndexNot measured162.9Only GPT-5.5 Pro measured
Neither model has a result on the other 1 board here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Reasoning benchmarks for GPT-3.5 Turbo 16k and GPT-5.5 Pro
BenchmarkGPT-3.5 Turbo 16kGPT-5.5 ProLeader
ARC-AGINot measured96.5%Only GPT-5.5 Pro measured
ARC-AGI-2Not measured84.6%Only GPT-5.5 Pro measured
SimpleBenchNot measured76.9%Only GPT-5.5 Pro measured
Chess puzzlesNot measured62.0%Only GPT-5.5 Pro measured
Neither model has a result on the other 19 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Math benchmarks for GPT-3.5 Turbo 16k and GPT-5.5 Pro
BenchmarkGPT-3.5 Turbo 16kGPT-5.5 ProLeader
FrontierMath, tiers 1 to 3Not measured87.7%Only GPT-5.5 Pro measured
FrontierMath, tier 4Not measured78.0%Only GPT-5.5 Pro measured
Neither model has a result on the other 12 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
General benchmarks for GPT-3.5 Turbo 16k and GPT-5.5 Pro
BenchmarkGPT-3.5 Turbo 16kGPT-5.5 ProLeader
DTBenchNot measured96.0%Only GPT-5.5 Pro measured
LMCANot measured53.9%Only GPT-5.5 Pro measured
Neither model has a result on the other 46 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-3.5 Turbo 16k$0.0050Fits in one request
GPT-5.5 Pro$0.120Fits in one request

GPT-3.5 Turbo 16k costs less

Repository review

50K input + 3K output tokens

GPT-3.5 Turbo 16k$0.162Exceeds the context window
GPT-5.5 Pro$2.04Fits in one request

GPT-3.5 Turbo 16k costs less

Agent loop

200K input + 10K output tokens

GPT-3.5 Turbo 16k$0.640Exceeds the context window
GPT-5.5 Pro$7.80Fits in one request

GPT-3.5 Turbo 16k 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-3.5 Turbo 16k and GPT-5.5 Pro
SpecificationOpenAI GPT-3.5 Turbo 16kOpenAI GPT-5.5 Pro
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedAugust 28, 2023April 24, 2026
Context window16K1.05M
Input $/Mtok$3.00$30.00
Output $/Mtok$4.00$180.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-3.5 Turbo 16k better than GPT-5.5 Pro for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-3.5 Turbo 16k for output tokens 45.0x cheaper ($4.00 vs $180.00 per million).

Which is cheaper, GPT-3.5 Turbo 16k or GPT-5.5 Pro?

GPT-3.5 Turbo 16k costs $3.00 per million input tokens and $4.00 per million output tokens; GPT-5.5 Pro costs $30.00 and $180.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-3.5 Turbo 16k or GPT-5.5 Pro?

GPT-5.5 Pro, with 1.05M tokens against 16K.

Has any benchmark tested both GPT-3.5 Turbo 16k and GPT-5.5 Pro?

No benchmark has tested both yet. GPT-3.5 Turbo 16k has none yet; GPT-5.5 Pro on Epoch Capabilities Index, ARC-AGI and ARC-AGI-2. Compare them on price and context instead. Data as of October 23, 2026.

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