GPT-3.5 Turbo Instruct vs Relace Search

GPT-3.5 Turbo Instruct costs 1.5x less per output token than Relace Search ($2.00 vs $3.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace GPT-3.5 Turbo Instruct Replace Relace Search

GPT-3.5 Turbo InstructOpenAI

Coding: No data
Overall: No data
Output $/M: $2.00

Relace SearchRelace

Coding: No data
Overall: No data
Output $/M: $3.00

vs $2.00 vs $3.00 per 1M output tokens. GPT-3.5 Turbo Instruct is 1.5x cheaper.

GPT-3.5 Turbo Instruct or Relace Search: which to pick

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

Pick GPT-3.5 Turbo Instruct for output tokens 1.5x cheaper ($2.00 vs $3.00 per million).

Model AGPT-3.5 Turbo InstructOpenAINot benchmarkedNo coding benchmarkNo cost per solved task Model BRelace SearchRelaceNot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. GPT-3.5 Turbo Instruct has results on METR time horizons; Relace Search has none yet. 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.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Neither has a coding score yet.
One side not measured
Long documents
Listed context window
Relace Search
Relace Search takes 256K tokens against 4K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
No call
GPT-3.5 Turbo Instruct $0.0025, Relace Search $0.0025 per turn.
List prices

At a glance

Coding index: GPT-3.5 Turbo Instruct not benchmarked, Relace Search 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 Instruct $2.00 against Relace Search $3.00 per million output tokens, 1.5x apart.
Context window: GPT-3.5 Turbo Instruct takes 4K tokens, Relace Search 256K.

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.

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured

Agentic work benchmarks for GPT-3.5 Turbo Instruct and Relace Search
Benchmark	GPT-3.5 Turbo Instruct	Relace Search	Leader
METR time horizons	21.5%	Not measured	Only GPT-3.5 Turbo Instruct measured
Neither model has a result on the other 40 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 Instruct$0.0025Fits in one request

Relace Search$0.0025Fits in one request

Same cost

Repository review

50K input + 3K output tokens

GPT-3.5 Turbo Instruct$0.081Exceeds the context window

Relace Search$0.059Fits in one request

Relace Search costs less

Agent loop

200K input + 10K output tokens

GPT-3.5 Turbo Instruct$0.320Exceeds the context window

Relace Search$0.230Fits in one request

Relace Search 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 Instruct and Relace Search
Specification	OpenAI GPT-3.5 Turbo Instruct	Relace Search
Maker	OpenAI	Relace
Weights	No public weights listed	No public weights listed
Released	September 28, 2023	December 8, 2025
Context window	4K	256K
Input $/Mtok	$1.50	$1.00
Output $/Mtok	$2.00	$3.00
Coding index	Not benchmarked	Not benchmarked
Independent measurements behind it	0	0
Cost per solved task	Not computable	Not computable
Source	OpenRouter listing	OpenRouter listing

Questions

Is GPT-3.5 Turbo Instruct better than Relace Search for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-3.5 Turbo Instruct for output tokens 1.5x cheaper ($2.00 vs $3.00 per million).

Which is cheaper, GPT-3.5 Turbo Instruct or Relace Search?

GPT-3.5 Turbo Instruct costs $1.50 per million input tokens and $2.00 per million output tokens; Relace Search costs $1.00 and $3.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-3.5 Turbo Instruct or Relace Search?

Relace Search, with 256K tokens against 4K.

Has any benchmark tested both GPT-3.5 Turbo Instruct and Relace Search?

No benchmark has tested both yet. GPT-3.5 Turbo Instruct has results on METR time horizons; Relace Search has none yet. Compare them on price and context instead. Data as of October 22, 2026.