Enter opens the highlighted result. Esc closes.

GPT-3.5 Turbo (older v0613) vs o3 Mini High

GPT-3.5 Turbo (older v0613) costs 2.2x less per output token than o3 Mini High ($2.00 vs $4.40 per million). Updated October 22, 2026; no benchmark has tested both models yet.

GPT-3.5 Turbo (older v0613)OpenAI
Coding
No data
Overall
No data
Output $/M
$2.00
o3 Mini HighOpenAI
Coding
No data
Overall
No data
Output $/M
$4.40
vs $2.00 vs $4.40 per 1M output tokens. GPT-3.5 Turbo (older v0613) is 2.2x cheaper.

GPT-3.5 Turbo (older v0613) or o3 Mini High: which to pick

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

Pick GPT-3.5 Turbo (older v0613) for output tokens 2.2x cheaper ($2.00 vs $4.40 per million).

No benchmark has tested both yet. GPT-3.5 Turbo (older v0613) has results on GSM8K, MMLU and WinoGrande; o3 Mini High on AA Coding Index, AA Intelligence Index and AA Agentic Index. 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 (older v0613) not benchmarked, o3 Mini High 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 (older v0613) $2.00 against o3 Mini High $4.40 per million output tokens, 2.2x apart.
Context window
GPT-3.5 Turbo (older v0613) takes 4K tokens, o3 Mini High 200K.

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 Index1 board measured
Coding benchmarks for GPT-3.5 Turbo (older v0613) and o3 Mini High
BenchmarkGPT-3.5 Turbo (older v0613)o3 Mini HighLeader
AA Coding IndexNot measured16.3Only o3 Mini High 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-3.5 Turbo (older v0613) and o3 Mini High
BenchmarkGPT-3.5 Turbo (older v0613)o3 Mini HighLeader
AA Intelligence IndexNot measured11.0Only o3 Mini High measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Agentic work benchmarks for GPT-3.5 Turbo (older v0613) and o3 Mini High
BenchmarkGPT-3.5 Turbo (older v0613)o3 Mini HighLeader
AA Agentic IndexNot measured0.9Only o3 Mini High measured
Neither model has a result on the other 40 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Math benchmarks for GPT-3.5 Turbo (older v0613) and o3 Mini High
BenchmarkGPT-3.5 Turbo (older v0613)o3 Mini HighLeader
GSM8K46.9%Not measuredOnly GPT-3.5 Turbo (older v0613) measured
Neither model has a result on the other 12 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Knowledge benchmarks for GPT-3.5 Turbo (older v0613) and o3 Mini High
BenchmarkGPT-3.5 Turbo (older v0613)o3 Mini HighLeader
MMLU68.9%Not measuredOnly GPT-3.5 Turbo (older v0613) measured
Neither model has a result on the other 17 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
General benchmarks for GPT-3.5 Turbo (older v0613) and o3 Mini High
BenchmarkGPT-3.5 Turbo (older v0613)o3 Mini HighLeader
WinoGrande81.6%Not measuredOnly GPT-3.5 Turbo (older v0613) measured
Neither model has a result on the other 45 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 (older v0613)$0.0020Fits in one request
o3 Mini High$0.0033Fits in one request

GPT-3.5 Turbo (older v0613) costs less

Repository review

50K input + 3K output tokens

GPT-3.5 Turbo (older v0613)$0.056Exceeds the context window
o3 Mini High$0.068Fits in one request

GPT-3.5 Turbo (older v0613) costs less

Agent loop

200K input + 10K output tokens

GPT-3.5 Turbo (older v0613)$0.220Exceeds the context window
o3 Mini High$0.264Exceeds the context window

GPT-3.5 Turbo (older v0613) 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 (older v0613) and o3 Mini High
SpecificationOpenAI GPT-3.5 Turbo (older v0613)OpenAI o3 Mini High
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJanuary 25, 2024February 12, 2025
Context window4K200K
Input $/Mtok$1.00$1.10
Output $/Mtok$2.00$4.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-3.5 Turbo (older v0613) better than o3 Mini High for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-3.5 Turbo (older v0613) for output tokens 2.2x cheaper ($2.00 vs $4.40 per million).

Which is cheaper, GPT-3.5 Turbo (older v0613) or o3 Mini High?

GPT-3.5 Turbo (older v0613) costs $1.00 per million input tokens and $2.00 per million output tokens; o3 Mini High costs $1.10 and $4.40. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-3.5 Turbo (older v0613) or o3 Mini High?

o3 Mini High, with 200K tokens against 4K.

Has any benchmark tested both GPT-3.5 Turbo (older v0613) and o3 Mini High?

No benchmark has tested both yet. GPT-3.5 Turbo (older v0613) has results on GSM8K, MMLU and WinoGrande; o3 Mini High on AA Coding Index, AA Intelligence Index and AA Agentic Index. Compare them on price and context instead. Data as of October 22, 2026.

Compare next