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GPT-5.2 Chat vs Ministral 3 8B 2512

Ministral 3 8B 2512 costs 93.3x less per output token than GPT-5.2 Chat ($0.15 vs $14.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace GPT-5.2 Chat Replace Ministral 3 8B 2512
GPT-5.2 ChatOpenAI
Coding
No data
Overall
No data
Output $/M
$14.00
Ministral 3 8B 2512Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.15
vs $14.00 vs $0.15 per 1M output tokens. Ministral 3 8B 2512 is 93.3x cheaper.

GPT-5.2 Chat or Ministral 3 8B 2512: 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-5.2 ChatOpenAINot benchmarkedNo coding benchmarkNo cost per solved taskModel BMinistral 3 8B 2512Mistral AINot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. GPT-5.2 Chat has none yet; Ministral 3 8B 2512 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-5.2 Chat not benchmarked, Ministral 3 8B 2512 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-5.2 Chat $14.00 against Ministral 3 8B 2512 $0.15 per million output tokens, 93.3x apart.
Context window
GPT-5.2 Chat takes 128K tokens, Ministral 3 8B 2512 262K.

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-5.2 Chat and Ministral 3 8B 2512
BenchmarkGPT-5.2 ChatMinistral 3 8B 2512Leader
AA Coding IndexNot measured9.7Only Ministral 3 8B 2512 measured
Neither model has a result on the other 42 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for GPT-5.2 Chat and Ministral 3 8B 2512
BenchmarkGPT-5.2 ChatMinistral 3 8B 2512Leader
AA Intelligence IndexNot measured5.5Only Ministral 3 8B 2512 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-5.2 Chat and Ministral 3 8B 2512
BenchmarkGPT-5.2 ChatMinistral 3 8B 2512Leader
AA Agentic IndexNot measured0.6Only Ministral 3 8B 2512 measured
Neither model has a result on the other 41 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Web design benchmarks for GPT-5.2 Chat and Ministral 3 8B 2512
BenchmarkGPT-5.2 ChatMinistral 3 8B 2512Leader
Design Arena: websitesNot measured1065Only Ministral 3 8B 2512 measured
Design Arena: game devNot measured990Only Ministral 3 8B 2512 measured
Design Arena: 3DNot measured1031Only Ministral 3 8B 2512 measured
Design Arena: all code categoriesNot measured1052Only Ministral 3 8B 2512 measured
Neither model has a result on the other 5 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-5.2 Chat$0.0088Fits in one request
Ministral 3 8B 2512$0.0002Fits in one request

Ministral 3 8B 2512 costs less

Repository review

50K input + 3K output tokens

GPT-5.2 Chat$0.130Fits in one request
Ministral 3 8B 2512$0.0080Fits in one request

Ministral 3 8B 2512 costs less

Agent loop

200K input + 10K output tokens

GPT-5.2 Chat$0.490Exceeds the context window
Ministral 3 8B 2512$0.032Fits in one request

Ministral 3 8B 2512 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-5.2 Chat and Ministral 3 8B 2512
SpecificationOpenAI GPT-5.2 ChatMistral Ministral 3 8B 2512
MakerOpenAIMistral AI
WeightsNo public weights listedOpen weights
ReleasedDecember 10, 2025December 2, 2025
Context window128K262K
Input $/Mtok$1.75$0.15
Output $/Mtok$14.00$0.15
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-5.2 Chat better than Ministral 3 8B 2512 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-5.2 Chat or Ministral 3 8B 2512?

GPT-5.2 Chat costs $1.75 per million input tokens and $14.00 per million output tokens; Ministral 3 8B 2512 costs $0.15 and $0.15. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-5.2 Chat or Ministral 3 8B 2512?

Ministral 3 8B 2512, with 262K tokens against 128K.

Has any benchmark tested both GPT-5.2 Chat and Ministral 3 8B 2512?

No benchmark has tested both yet. GPT-5.2 Chat has none yet; Ministral 3 8B 2512 on AA Coding Index, AA Intelligence Index and AA Agentic Index. Compare them on price and context instead. Data as of October 22, 2026.

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