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Kimi K2 Thinking vs Nex-N2.5-Mini

Nex-N2.5-Mini costs 25.0x less per output token than Kimi K2 Thinking ($0.10 vs $2.50 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Kimi K2 ThinkingMoonshot AI
Coding
No data
Overall
No data
Output $/M
$2.50
N Nex-N2.5-MiniNex AGI
Coding
No data
Overall
No data
Output $/M
$0.10
vs $2.50 vs $0.10 per 1M output tokens. Nex-N2.5-Mini is 25.0x cheaper.

Kimi K2 Thinking 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.

No benchmark has tested both yet. Kimi K2 Thinking has results on SWE-bench Verified, 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
Kimi K2 Thinking 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
Kimi K2 Thinking $2.50 against Nex-N2.5-Mini $0.10 per million output tokens, 25.0x 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 Index8 boards measured
Coding benchmarks for Kimi K2 Thinking and Nex-N2.5-Mini
BenchmarkKimi K2 ThinkingNex-N2.5-MiniLeader
SWE-bench Verified63.4%Not measuredOnly Kimi K2 Thinking measured
LiveCodeBench (Vals AI)63.1%Not measuredOnly Kimi K2 Thinking measured
SWE-bench Verified (Vals AI)60.2%Not measuredOnly Kimi K2 Thinking measured
LiveCodeBench (Artificial Analysis run)85.3%Not measuredOnly Kimi K2 Thinking measured
Terminal-Bench Hard (Artificial Analysis run)31.1%Not measuredOnly Kimi K2 Thinking measured
Terminal-Bench35.7%Not measuredOnly Kimi K2 Thinking measured
WeirdML42.8%Not measuredOnly Kimi K2 Thinking measured
ALE-Bench597.5Not measuredOnly Kimi K2 Thinking measured
Neither model has a result on the other 31 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for Kimi K2 Thinking and Nex-N2.5-Mini
BenchmarkKimi K2 ThinkingNex-N2.5-MiniLeader
AA Intelligence Index22.0Not measuredOnly Kimi K2 Thinking measured
Epoch Capabilities Index145.8Not measuredOnly Kimi K2 Thinking measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Agentic work benchmarks for Kimi K2 Thinking and Nex-N2.5-Mini
BenchmarkKimi K2 ThinkingNex-N2.5-MiniLeader
τ²-Bench Telecom93.0%Not measuredOnly Kimi K2 Thinking measured
METR time horizons59.2%Not measuredOnly Kimi K2 Thinking measured
Neither model has a result on the other 39 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Reasoning benchmarks for Kimi K2 Thinking and Nex-N2.5-Mini
BenchmarkKimi K2 ThinkingNex-N2.5-MiniLeader
GPQA Diamond78.5%Not measuredOnly Kimi K2 Thinking measured
GPQA Diamond (Artificial Analysis run)83.8%Not measuredOnly Kimi K2 Thinking measured
Humanity's Last Exam (Artificial Analysis run)23.8%Not measuredOnly Kimi K2 Thinking measured
Neither model has a result on the other 19 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Math benchmarks for Kimi K2 Thinking and Nex-N2.5-Mini
BenchmarkKimi K2 ThinkingNex-N2.5-MiniLeader
AIME85.4%Not measuredOnly Kimi K2 Thinking measured
MGSM (Vals AI)90.2%Not measuredOnly Kimi K2 Thinking measured
AA Math Index94.7Not measuredOnly Kimi K2 Thinking measured
AIME 2025 (Artificial Analysis run)94.7%Not measuredOnly Kimi K2 Thinking measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
Knowledge benchmarks for Kimi K2 Thinking and Nex-N2.5-Mini
BenchmarkKimi K2 ThinkingNex-N2.5-MiniLeader
MMLU Pro81.1%Not measuredOnly Kimi K2 Thinking measured
LegalBench (Vals AI)80.2%Not measuredOnly Kimi K2 Thinking measured
CaseLaw (Vals AI)65.7%Not measuredOnly Kimi K2 Thinking measured
CorpFin (Vals AI)60.6%Not measuredOnly Kimi K2 Thinking measured
TaxEval (Vals AI)71.7%Not measuredOnly Kimi K2 Thinking measured
MedQA (Vals AI)92.6%Not measuredOnly Kimi K2 Thinking measured
MMLU Pro (Artificial Analysis run)84.8%Not measuredOnly Kimi K2 Thinking measured
Neither model has a result on the other 11 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Web design benchmarks for Kimi K2 Thinking and Nex-N2.5-Mini
BenchmarkKimi K2 ThinkingNex-N2.5-MiniLeader
Design Arena: websites1113Not measuredOnly Kimi K2 Thinking measured
Neither model has a result on the other 8 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
General benchmarks for Kimi K2 Thinking and Nex-N2.5-Mini
BenchmarkKimi K2 ThinkingNex-N2.5-MiniLeader
IFBench68.1%Not measuredOnly Kimi K2 Thinking measured
Long context reasoning (AA-LCR)72.0%Not measuredOnly Kimi K2 Thinking measured
CL-bench17.6%Not measuredOnly Kimi K2 Thinking 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

Kimi K2 Thinking$0.0019Fits 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

Kimi K2 Thinking$0.037Fits 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

Kimi K2 Thinking$0.145Fits 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 Kimi K2 Thinking and Nex-N2.5-Mini
SpecificationMoonshotAI Kimi K2 ThinkingNex AGI Nex-N2.5-Mini
MakerMoonshot AINex AGI
WeightsOpen weightsOpen weights
ReleasedNovember 6, 2025September 8, 2026
Context window262K262K
Input $/Mtok$0.60$0.025
Output $/Mtok$2.50$0.10
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved task$0.61Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Kimi K2 Thinking 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, Kimi K2 Thinking or Nex-N2.5-Mini?

Kimi K2 Thinking costs $0.60 per million input tokens and $2.50 per million output tokens; Nex-N2.5-Mini costs $0.025 and $0.10. Cost per solved task is known for Kimi K2 Thinking only.

Which has the bigger context window, Kimi K2 Thinking or Nex-N2.5-Mini?

Neither: both take 262K tokens.

Has any benchmark tested both Kimi K2 Thinking and Nex-N2.5-Mini?

No benchmark has tested both yet. Kimi K2 Thinking has results on SWE-bench Verified, 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 21, 2026.

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