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MoonshotAI · mid

Is Kimi K2.5 good?

Kimi K2.5 has been tested across 22 task areas. It's strongest at coding and weakest at summarization & meeting notes. It's a mid-priced option ($2.4/1M tokens).

Top-3 finishes
22/22
Task areas tested
$2.4
Per 1M tokens
Slow
Typical speed

Our take

MoonshotAI: Kimi K2.5 is a mid-tier model that we tested across 22 task areas. It performs best at Sales, and is weakest at Summarization & Meeting Notes.

Strengths

Clarity Concision Specificity Usefulness Tone Constraint adherence

Weak spots

Appropriate caveats Timing accuracy Food quality Practical sequencing Visual design Explanation quality

How Kimi K2.5 ranks, task by task

Rank is the position in each field; Rating is the absolute quality bar. A model can be rated "Excellent" yet sit mid-table when the whole field is strong — and vice-versa.

Task area Rank
Coding #5 of 52
Data & Analytics #9 of 69
Sales #8 of 44
Frontend & Landing Pages #17 of 93
Training & Education #13 of 44
AI Strategy #15 of 50
Translation & Localization #14 of 44
Structured Output #15 of 43
Customer Support #17 of 43
RAG, Safety & Grounding #14 of 35
Investor & Pitch #20 of 50
Landing Pages #23 of 56
Knowledge & Docs #48 of 94
Content & Brand #26 of 50
Research & Competitive Analysis #26 of 44
Product & Project Management #27 of 44
Creative & Comedy #35 of 44
Chef / Home Cooking #43 of 50
Legal & HR #38 of 44
Presentations & Decks #39 of 44
Executive Assistant #47 of 50
Summarization & Meeting Notes #42 of 44

Industry benchmarks

Standardized third-party scores, shown for context — these are independent of our real-task tests.

Headline vs. real-world

Source: Artificial Analysis (artificialanalysis.ai) via OpenRouter (openrouter.ai/rankings). (2026-06-29) · Source: Design Arena (www.designarena.ai) via OpenRouter (openrouter.ai/rankings). (2026-06-29)

Like Kimi K2.5, but…

Cheaper

Smarter

Frequently asked

Is Kimi K2.5 any good?

Kimi K2.5 places top-3 in 0 of 22 task areas we benchmarked. It performs best at Coding.

What is Kimi K2.5 best at?

Its strongest task areas are Coding, Data & Analytics, Sales.

Is there a cheaper alternative to Kimi K2.5?

DeepSeek V3.2 is 76% cheaper and stays competitive on quality across our benchmarks.

How we test & rank

Each model is scored on real tasks across 22 task areas by an LLM judge with deterministic checks. "Percentile" is this model's standing within each area's field; the cross-area figures are rank-based so quality and Elo scores are never mixed.

This page is Spring Prompt, running

We just did this for every model. Do it for your prompt.

The rankings above come from running real tasks through real models and scoring every output. Spring Prompt is that same engine — pointed at your prompt, your test cases, and your definition of good.

  • Generate test cases from your prompt — no eval set required to start.
  • Compare models side by side with quality, cost and latency in one matrix.
  • Optimise the winner until the scores say it's ready to ship.
Experiment · Cold outreach email

Prompt × model results

12 test cases · 3 evals
Claude Opus
GPT-5
Gemini
v1
7.1
6.8
7.4
v2
8.3
7.9
8.0
v3
9.2
8.6
8.4
Best combo: v3 × Claude Opus
9.2 quality · $0.004/run · 1.8s