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GPT-3.5 Turbo vs GPT-5.1-Codex-Max

GPT-3.5 Turbo costs 6.7x less per output token than GPT-5.1-Codex-Max ($1.50 vs $10.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace GPT-3.5 Turbo Replace GPT-5.1-Codex-Max
GPT-3.5 TurboOpenAI
Coding
No data
Overall
No data
Output $/M
$1.50
GPT-5.1-Codex-MaxOpenAI
Coding
No data
Overall
No data
Output $/M
$10.00
vs $1.50 vs $10.00 per 1M output tokens. GPT-3.5 Turbo is 6.7x cheaper.

GPT-3.5 Turbo or GPT-5.1-Codex-Max: which to pick

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

Pick GPT-3.5 Turbo for output tokens 6.7x cheaper ($1.50 vs $10.00 per million).

Model AGPT-3.5 TurboOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BGPT-5.1-Codex-MaxOpenAINot benchmarked1 independent benchmarkNo cost per solved task

No benchmark has tested both yet. GPT-3.5 Turbo has results on AA Coding Index, SciCode and AA Intelligence Index; GPT-5.1-Codex-Max on LiveCodeBench (Vals AI), Vibe Code Bench (Vals AI) and Terminal-Bench. 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 not benchmarked, GPT-5.1-Codex-Max 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 $1.50 against GPT-5.1-Codex-Max $10.00 per million output tokens, 6.7x apart.
Context window
GPT-3.5 Turbo takes 16K tokens, GPT-5.1-Codex-Max 400K.

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 Index6 boards measured
Coding benchmarks for GPT-3.5 Turbo and GPT-5.1-Codex-Max
BenchmarkGPT-3.5 TurboGPT-5.1-Codex-MaxLeader
AA Coding Index10.7Not measuredOnly GPT-3.5 Turbo measured
LiveCodeBench (Vals AI)Not measured83.6%Only GPT-5.1-Codex-Max measured
Vibe Code Bench (Vals AI)Not measured22.2%Only GPT-5.1-Codex-Max measured
Terminal-BenchNot measured60.4%Only GPT-5.1-Codex-Max measured
ALE-BenchNot measured1228.3Only GPT-5.1-Codex-Max measured
SciCode0.0%Not measuredOnly GPT-3.5 Turbo measured
Neither model has a result on the other 33 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for GPT-3.5 Turbo and GPT-5.1-Codex-Max
BenchmarkGPT-3.5 TurboGPT-5.1-Codex-MaxLeader
AA Intelligence Index5.5Not measuredOnly GPT-3.5 Turbo 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 and GPT-5.1-Codex-Max
BenchmarkGPT-3.5 TurboGPT-5.1-Codex-MaxLeader
METR time horizonsNot measured70.8%Only GPT-5.1-Codex-Max measured
Neither model has a result on the other 40 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Reasoning benchmarks for GPT-3.5 Turbo and GPT-5.1-Codex-Max
BenchmarkGPT-3.5 TurboGPT-5.1-Codex-MaxLeader
GPQA Diamond30.6%Not measuredOnly GPT-3.5 Turbo measured
GPQA Diamond (Artificial Analysis run)29.7%Not measuredOnly GPT-3.5 Turbo measured
BIG-Bench Hard61.6%Not measuredOnly GPT-3.5 Turbo 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 and GPT-5.1-Codex-Max
BenchmarkGPT-3.5 TurboGPT-5.1-Codex-MaxLeader
ProofBenchNot measured9.0%Only GPT-5.1-Codex-Max measured
GSM8K57.8%Not measuredOnly GPT-3.5 Turbo measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Knowledge benchmarks for GPT-3.5 Turbo and GPT-5.1-Codex-Max
BenchmarkGPT-3.5 TurboGPT-5.1-Codex-MaxLeader
LegalBench (Vals AI)64.4%Not measuredOnly GPT-3.5 Turbo measured
MedQA (Vals AI)58.5%Not measuredOnly GPT-3.5 Turbo measured
MMLU Pro (Artificial Analysis run)46.2%Not measuredOnly GPT-3.5 Turbo measured
MMLU68.5%Not measuredOnly GPT-3.5 Turbo measured
Neither model has a result on the other 14 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
General benchmarks for GPT-3.5 Turbo and GPT-5.1-Codex-Max
BenchmarkGPT-3.5 TurboGPT-5.1-Codex-MaxLeader
DTBench48.5%Not measuredOnly GPT-3.5 Turbo measured
LMCA9.7%Not measuredOnly GPT-3.5 Turbo measured
Neither model has a result on the other 44 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$0.0013Fits in one request
GPT-5.1-Codex-Max$0.0063Fits in one request

GPT-3.5 Turbo costs less

Repository review

50K input + 3K output tokens

GPT-3.5 Turbo$0.029Exceeds the context window
GPT-5.1-Codex-Max$0.092Fits in one request

GPT-3.5 Turbo costs less

Agent loop

200K input + 10K output tokens

GPT-3.5 Turbo$0.115Exceeds the context window
GPT-5.1-Codex-Max$0.350Fits in one request

GPT-3.5 Turbo 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 and GPT-5.1-Codex-Max
SpecificationOpenAI GPT-3.5 TurboOpenAI GPT-5.1-Codex-Max
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedMay 28, 2023December 4, 2025
Context window16K400K
Input $/Mtok$0.50$1.25
Output $/Mtok$1.50$10.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-3.5 Turbo better than GPT-5.1-Codex-Max for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-3.5 Turbo for output tokens 6.7x cheaper ($1.50 vs $10.00 per million).

Which is cheaper, GPT-3.5 Turbo or GPT-5.1-Codex-Max?

GPT-3.5 Turbo costs $0.50 per million input tokens and $1.50 per million output tokens; GPT-5.1-Codex-Max costs $1.25 and $10.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-3.5 Turbo or GPT-5.1-Codex-Max?

GPT-5.1-Codex-Max, with 400K tokens against 16K.

Has any benchmark tested both GPT-3.5 Turbo and GPT-5.1-Codex-Max?

No benchmark has tested both yet. GPT-3.5 Turbo has results on AA Coding Index, SciCode and AA Intelligence Index; GPT-5.1-Codex-Max on LiveCodeBench (Vals AI), Vibe Code Bench (Vals AI) and Terminal-Bench. Compare them on price and context instead. Data as of October 22, 2026.

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