GPT-3.5 Turbo vs Mistral Small 3.2 24B

Mistral Small 3.2 24B costs 5.0x less per output token than GPT-3.5 Turbo ($0.30 vs $1.50 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace GPT-3.5 Turbo Replace Mistral Small 3.2 24B

GPT-3.5 TurboOpenAI

Coding: No data
Overall: No data
Output $/M: $1.50

Mistral Small 3.2 24BMistral AI

Coding: No data
Overall: No data
Output $/M: $0.30

vs $1.50 vs $0.30 per 1M output tokens. Mistral Small 3.2 24B is 5.0x cheaper.

GPT-3.5 Turbo or Mistral Small 3.2 24B: which to pick

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

Compare them on price, context and the boards below.

Model AGPT-3.5 TurboOpenAINot benchmarkedNo coding benchmarkNo cost per solved task Model BMistral Small 3.2 24BMistral AINot benchmarkedNo coding 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; Mistral Small 3.2 24B on Design Arena: websites, Design Arena: UI components and Design Arena: game dev. 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
Intelligence
AA Intelligence Index
No call
Only GPT-3.5 Turbo has a AA Intelligence Index result, 5.5.
Directional only
Reasoning
GPQA Diamond
No call
Only GPT-3.5 Turbo has a GPQA Diamond result, 30.6%.
Directional only
Web design
Design Arena: websites
No call
Only Mistral Small 3.2 24B has a Design Arena: websites result, 896.
Directional only
Long documents
Listed context window
Mistral Small 3.2 24B
Mistral Small 3.2 24B takes 256K tokens against 16K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Small 3.2 24B
GPT-3.5 Turbo $0.0013, Mistral Small 3.2 24B $0.0003 per turn.
List prices

At a glance

Coding index: GPT-3.5 Turbo not benchmarked, Mistral Small 3.2 24B 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 Mistral Small 3.2 24B $0.30 per million output tokens, 5.0x apart.
Context window: GPT-3.5 Turbo takes 16K tokens, Mistral Small 3.2 24B 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.

CodingDirectional onlySix of these boards feed the Vibe Coding Index2 boards measured

Coding benchmarks for GPT-3.5 Turbo and Mistral Small 3.2 24B
Benchmark	GPT-3.5 Turbo	Mistral Small 3.2 24B	Leader
AA Coding Index	10.7	Not measured	Only GPT-3.5 Turbo measured
SciCode	0.0%	Not measured	Only GPT-3.5 Turbo measured
Neither model has a result on the other 37 boards here

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

Intelligence benchmarks for GPT-3.5 Turbo and Mistral Small 3.2 24B
Benchmark	GPT-3.5 Turbo	Mistral Small 3.2 24B	Leader
AA Intelligence Index	5.5	Not measured	Only GPT-3.5 Turbo measured
Neither model has a result on the other 1 board here

ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured

Reasoning benchmarks for GPT-3.5 Turbo and Mistral Small 3.2 24B
Benchmark	GPT-3.5 Turbo	Mistral Small 3.2 24B	Leader
GPQA Diamond	30.6%	Not measured	Only GPT-3.5 Turbo measured
GPQA Diamond (Artificial Analysis run)	29.7%	Not measured	Only GPT-3.5 Turbo measured
BIG-Bench Hard	61.6%	Not measured	Only 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 index1 board measured

Math benchmarks for GPT-3.5 Turbo and Mistral Small 3.2 24B
Benchmark	GPT-3.5 Turbo	Mistral Small 3.2 24B	Leader
GSM8K	57.8%	Not measured	Only GPT-3.5 Turbo measured
Neither model has a result on the other 12 boards here

KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured

Knowledge benchmarks for GPT-3.5 Turbo and Mistral Small 3.2 24B
Benchmark	GPT-3.5 Turbo	Mistral Small 3.2 24B	Leader
LegalBench (Vals AI)	64.4%	Not measured	Only GPT-3.5 Turbo measured
MedQA (Vals AI)	58.5%	Not measured	Only GPT-3.5 Turbo measured
MMLU Pro (Artificial Analysis run)	46.2%	Not measured	Only GPT-3.5 Turbo measured
MMLU	68.5%	Not measured	Only GPT-3.5 Turbo measured
Neither model has a result on the other 14 boards here

Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured

Web design benchmarks for GPT-3.5 Turbo and Mistral Small 3.2 24B
Benchmark	GPT-3.5 Turbo	Mistral Small 3.2 24B	Leader
Design Arena: websites	Not measured	896	Only Mistral Small 3.2 24B measured
Design Arena: UI components	Not measured	907	Only Mistral Small 3.2 24B measured
Design Arena: game dev	Not measured	889	Only Mistral Small 3.2 24B measured
Design Arena: data viz	Not measured	929	Only Mistral Small 3.2 24B measured
Design Arena: all code categories	Not measured	907	Only Mistral Small 3.2 24B measured
Neither model has a result on the other 4 boards here

GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured

General benchmarks for GPT-3.5 Turbo and Mistral Small 3.2 24B
Benchmark	GPT-3.5 Turbo	Mistral Small 3.2 24B	Leader
DTBench	48.5%	Not measured	Only GPT-3.5 Turbo measured
LMCA	9.7%	Not measured	Only 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

Mistral Small 3.2 24B$0.0003Fits in one request

Mistral Small 3.2 24B costs less

Repository review

50K input + 3K output tokens

GPT-3.5 Turbo$0.029Exceeds the context window

Mistral Small 3.2 24B$0.0059Fits in one request

Mistral Small 3.2 24B costs less

Agent loop

200K input + 10K output tokens

GPT-3.5 Turbo$0.115Exceeds the context window

Mistral Small 3.2 24B$0.023Fits in one request

Mistral Small 3.2 24B 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 Mistral Small 3.2 24B
Specification	OpenAI GPT-3.5 Turbo	Mistral Small 3.2 24B
Maker	OpenAI	Mistral AI
Weights	No public weights listed	Open weights
Released	May 28, 2023	June 20, 2025
Context window	16K	256K
Input $/Mtok	$0.50	$0.10
Output $/Mtok	$1.50	$0.30
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 better than Mistral Small 3.2 24B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GPT-3.5 Turbo or Mistral Small 3.2 24B?

GPT-3.5 Turbo costs $0.50 per million input tokens and $1.50 per million output tokens; Mistral Small 3.2 24B costs $0.10 and $0.30. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-3.5 Turbo or Mistral Small 3.2 24B?

Mistral Small 3.2 24B, with 256K tokens against 16K.

Has any benchmark tested both GPT-3.5 Turbo and Mistral Small 3.2 24B?

GPT-3.5 Turbo or Mistral Small 3.2 24B: which to pick

Which one for your work

Coding

Intelligence

Reasoning

Web design

Long documents

Everyday cost

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

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