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Mistral Large 3 2512 vs Nex-N2.5-Mini

Nex-N2.5-Mini costs 15.0x less per output token than Mistral Large 3 2512 ($0.10 vs $1.50 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Replace Mistral Large 3 2512 Replace Nex-N2.5-Mini
Mistral Large 3 2512Mistral AI
Coding
No data
Overall
No data
Output $/M
$1.50
N Nex-N2.5-MiniNex AGI
Coding
No data
Overall
No data
Output $/M
$0.10
vs $1.50 vs $0.10 per 1M output tokens. Nex-N2.5-Mini is 15.0x cheaper.

Mistral Large 3 2512 or Nex-N2.5-Mini: 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 AMistral Large 3 2512Mistral AINot benchmarked1 independent benchmark$0.77 per solved taskModel BNex-N2.5-MiniNex AGINot benchmarkedNo coding benchmarkNo cost per solved task

No benchmark has tested both yet. Mistral Large 3 2512 has results on AA Coding Index, LiveCodeBench (Vals AI) and SWE-bench Verified (Vals AI); Nex-N2.5-Mini 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.

At a glance

Coding index
Mistral Large 3 2512 not benchmarked, Nex-N2.5-Mini 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
Mistral Large 3 2512 $1.50 against Nex-N2.5-Mini $0.10 per million output tokens, 15.0x apart.
Context window
Both take 262K tokens.

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 Index4 boards measured
Coding benchmarks for Mistral Large 3 2512 and Nex-N2.5-Mini
BenchmarkMistral Large 3 2512Nex-N2.5-MiniLeader
AA Coding Index20.1Not measuredOnly Mistral Large 3 2512 measured
LiveCodeBench (Vals AI)55.3%Not measuredOnly Mistral Large 3 2512 measured
SWE-bench Verified (Vals AI)41.4%Not measuredOnly Mistral Large 3 2512 measured
ALE-Bench264.7Not measuredOnly Mistral Large 3 2512 measured
Neither model has a result on the other 35 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Mistral Large 3 2512 and Nex-N2.5-Mini
BenchmarkMistral Large 3 2512Nex-N2.5-MiniLeader
AA Intelligence Index9.3Not measuredOnly Mistral Large 3 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 Mistral Large 3 2512 and Nex-N2.5-Mini
BenchmarkMistral Large 3 2512Nex-N2.5-MiniLeader
AA Agentic Index1.0Not measuredOnly Mistral Large 3 2512 measured
Neither model has a result on the other 40 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Reasoning benchmarks for Mistral Large 3 2512 and Nex-N2.5-Mini
BenchmarkMistral Large 3 2512Nex-N2.5-MiniLeader
GPQA Diamond68.4%Not measuredOnly Mistral Large 3 2512 measured
MMMU Pro (Vals AI)66.2%Not measuredOnly Mistral Large 3 2512 measured
Neither model has a result on the other 20 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Math benchmarks for Mistral Large 3 2512 and Nex-N2.5-Mini
BenchmarkMistral Large 3 2512Nex-N2.5-MiniLeader
AIME42.9%Not measuredOnly Mistral Large 3 2512 measured
MGSM (Vals AI)85.4%Not measuredOnly Mistral Large 3 2512 measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
Knowledge benchmarks for Mistral Large 3 2512 and Nex-N2.5-Mini
BenchmarkMistral Large 3 2512Nex-N2.5-MiniLeader
MMLU Pro79.8%Not measuredOnly Mistral Large 3 2512 measured
LegalBench (Vals AI)79.1%Not measuredOnly Mistral Large 3 2512 measured
CaseLaw (Vals AI)61.4%Not measuredOnly Mistral Large 3 2512 measured
CorpFin (Vals AI)61.0%Not measuredOnly Mistral Large 3 2512 measured
TaxEval (Vals AI)73.1%Not measuredOnly Mistral Large 3 2512 measured
MortgageTax (Vals AI)52.1%Not measuredOnly Mistral Large 3 2512 measured
MedQA (Vals AI)82.2%Not measuredOnly Mistral Large 3 2512 measured
Neither model has a result on the other 11 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
Web design benchmarks for Mistral Large 3 2512 and Nex-N2.5-Mini
BenchmarkMistral Large 3 2512Nex-N2.5-MiniLeader
Design Arena: websites1162Not measuredOnly Mistral Large 3 2512 measured
Design Arena: UI components1099Not measuredOnly Mistral Large 3 2512 measured
Design Arena: game dev1080Not measuredOnly Mistral Large 3 2512 measured
Design Arena: data viz1137Not measuredOnly Mistral Large 3 2512 measured
Design Arena: 3D1099Not measuredOnly Mistral Large 3 2512 measured
Design Arena: all code categories1141Not measuredOnly Mistral Large 3 2512 measured
Design Arena: SVG992Not measuredOnly Mistral Large 3 2512 measured
Design Arena: ASCII art1069Not measuredOnly Mistral Large 3 2512 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
General benchmarks for Mistral Large 3 2512 and Nex-N2.5-Mini
BenchmarkMistral Large 3 2512Nex-N2.5-MiniLeader
SAGE (Vals AI)24.6%Not measuredOnly Mistral Large 3 2512 measured
DTBench65.1%Not measuredOnly Mistral Large 3 2512 measured
LMCA16.7%Not measuredOnly Mistral Large 3 2512 measured
Neither model has a result on the other 43 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

Mistral Large 3 2512$0.0013Fits in one request
Nex-N2.5-Mini$0.0001Fits in one request

Nex-N2.5-Mini costs less

Repository review

50K input + 3K output tokens

Mistral Large 3 2512$0.029Fits in one request
Nex-N2.5-Mini$0.0015Fits in one request

Nex-N2.5-Mini costs less

Agent loop

200K input + 10K output tokens

Mistral Large 3 2512$0.115Fits in one request
Nex-N2.5-Mini$0.0060Fits in one request

Nex-N2.5-Mini 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 Mistral Large 3 2512 and Nex-N2.5-Mini
SpecificationMistral Large 3 2512Nex AGI Nex-N2.5-Mini
MakerMistral AINex AGI
WeightsNo public weights listedOpen weights
ReleasedDecember 1, 2025September 8, 2026
Context window262K262K
Input $/Mtok$0.50$0.025
Output $/Mtok$1.50$0.10
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved task$0.77Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mistral Large 3 2512 better than Nex-N2.5-Mini 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, Mistral Large 3 2512 or Nex-N2.5-Mini?

Mistral Large 3 2512 costs $0.50 per million input tokens and $1.50 per million output tokens; Nex-N2.5-Mini costs $0.025 and $0.10. Cost per solved task is known for Mistral Large 3 2512 only.

Which has the bigger context window, Mistral Large 3 2512 or Nex-N2.5-Mini?

Neither: both take 262K tokens.

Has any benchmark tested both Mistral Large 3 2512 and Nex-N2.5-Mini?

No benchmark has tested both yet. Mistral Large 3 2512 has results on AA Coding Index, LiveCodeBench (Vals AI) and SWE-bench Verified (Vals AI); Nex-N2.5-Mini has none yet. Compare them on price and context instead. Data as of October 22, 2026.

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