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Model comparison

Composer 2 vs Kimi K2.5

Updated August 7, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Composer 2

Cursor

Evidence status unavailable

90% interval unavailable

Kimi K2.5

Moonshot AI

58.8/100

Supported · Public rank #64

90% interval 51.4–66.2

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.

4 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.

Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

  • Long documents

    Prompts that approach the documented context limit

    Kimi K2.5

    Kimi K2.5 has the larger documented context window.

    Confidence: documented

  • Chat turn cost

    1K fresh input + 500 output tokens

    Composer 2

    Composer 2 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates

Show secondary and unsupported calls
  • Repository review cost

    50K fresh input + 3K output tokens

    Composer 2

    Composer 2 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates

  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.

    Confidence: limited

  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.

    Confidence: limited

  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Not enough matched evidence

    The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Composer 2 does not fit this workload in one request. Composer 2 has no published cached-input rate, so cached tokens use its listed input rate. Kimi K2.5 has no published cached-input rate, so cached tokens use its listed input rate.

    Confidence: rate-fallback

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

Shared results
4
Composer 2 only
1
Kimi K2.5 only
41
Like-for-like categories
0 / 8

2 categories use different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.

Agentic

Directional only
Composer 2
61.7
Kimi K2.5
55.0
Weighted basis
1 vs 2 rows
Reading
Directional only

Coding

Directional only
Composer 2
58.0
Kimi K2.5
59.4
Weighted basis
1 vs 4 rows
Reading
Directional only

Reasoning

Not comparable
Composer 2
Not measured
Kimi K2.5
61.0
Weighted basis
0 vs 1 rows
Reading
Not comparable

Knowledge

Not comparable
Composer 2
Not measured
Kimi K2.5
56.9
Weighted basis
0 vs 4 rows
Reading
Not comparable

Math

Not comparable
Composer 2
Not measured
Kimi K2.5
60.6
Weighted basis
0 vs 4 rows
Reading
Not comparable

Multilingual

Not comparable
Composer 2
Not measured
Kimi K2.5
82.3
Weighted basis
0 vs 1 rows
Reading
Not comparable

Multimodal

Not comparable
Composer 2
Not measured
Kimi K2.5
78.5
Weighted basis
0 vs 1 rows
Reading
Not comparable

Instruction following

Not comparable
Composer 2
Not measured
Kimi K2.5
93.9
Weighted basis
0 vs 1 rows
Reading
Not comparable

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

Composer 2
$0.00175
Fits in one request
Kimi K2.5
$0.0021
Fits in one request

Composer 2 has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

Composer 2
$0.0325
Fits in one request
Kimi K2.5
$0.039
Fits in one request

Composer 2 has the lower modeled cost

Costs use the listed standard API rates.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Composer 2
$0.135
Does not fit in one request
Cached input priced at the published list-input rate
Kimi K2.5
$0.162
Fits in one request
Cached input priced at the published list-input rate

Composer 2 does not fit this workload in one request. Composer 2 has no published cached-input rate, so cached tokens use its listed input rate. Kimi K2.5 has no published cached-input rate, so cached tokens use its listed input rate.

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Context window

Maximum documented context; output-token limits may be lower.

Composer 2

200K

Kimi K2.5

256K

API model ID

Composer 2

Not sourced

Kimi K2.5

Not sourced

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Composer 2

Not published

Kimi K2.5

Not published

Documented inputs

Composer 2

Not sourced

Kimi K2.5

Not sourced

Documented outputs

Composer 2

Not sourced

Kimi K2.5

Not sourced

Provider availability

Composer 2

Not sourced

Kimi K2.5

Not sourced

Reasoning profile

Composer 2

Reasoning

Kimi K2.5

Non-Reasoning

Weight access

Composer 2

Proprietary

Kimi K2.5

Open Weight

License

Composer 2

Proprietary

Kimi K2.5

Open Weight

Release date

Composer 2

2026-03-19

Kimi K2.5

2026-02-01

If you already use one of these models
Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
Workload cost
Repository review: $0.0325 vs $0.039. Cache-heavy agent loop: $0.135 vs $0.162.
Context tradeoff
Kimi K2.5 has the larger documented window (256K).

Run the same representative tasks against both endpoints before changing production traffic.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

Composer 2
API / mo$2,250
Self-host / moNot listed
Break-even
Proprietary model — self-hosting not applicable.
Kimi K2.5
API / mo$2,700
Self-host / mo$5,221
Break-even132M/day
Model the full break-even

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence46 rows

Agentic

  • Terminal-Bench 2.0

    Composer 261.7%
    Source
    Kimi K2.550.8%
    Source

    Composer 2 leads this result

  • BrowseComp

    Composer 2
    Kimi K2.560.6%
    Source

    Not directly comparable

  • Claw-Eval

    Composer 2
    Kimi K2.552.3%
    Source

    Not directly comparable

  • QwenClawBench

    Composer 2
    Kimi K2.554.3%
    Source

    Not directly comparable

  • τ³-bench results

    Composer 2
    Kimi K2.565.7%
    Source

    Not directly comparable

  • DeepSearchQA

    Composer 2
    Kimi K2.577.1%
    Source

    Not directly comparable

  • DeepPlanning

    Composer 2
    Kimi K2.514.4%
    Source

    Not directly comparable

  • Toolathlon

    Composer 2
    Kimi K2.527.8%
    Source

    Not directly comparable

  • MCP Atlas

    Composer 2
    Kimi K2.529.5%
    Source

    Not directly comparable

  • MCP-Tasks

    Composer 2
    Kimi K2.559.1%
    Source

    Not directly comparable

  • WideResearch

    Composer 2
    Kimi K2.572.7%
    Source

    Not directly comparable

  • Gert Labs

    Composer 2
    Kimi K2.545.88%
    Source

    Not directly comparable

  • ResearchClawBench

    Composer 2
    Kimi K2.514.0%
    Source

    Not directly comparable

  • JobBench

    Composer 2
    Kimi K2.58.7%
    Source

    Not directly comparable

Coding

  • SWE Multilingual

    Composer 273.7%
    Source
    Kimi K2.573%
    Source

    Composer 2 leads this result

  • SWE-Rebench

    Composer 258%
    Source
    Kimi K2.558.5%
    Source

    Kimi K2.5 leads this result

  • React Native Evals

    Shared source
    Composer 296.1%
    Kimi K2.577.2%

    Composer 2 leads this result

  • Terminal-Bench 2.0

    Composer 261.7%
    Source
    Kimi K2.5

    Not directly comparable

  • SWE-bench Verified

    Composer 2
    Kimi K2.576.8%
    Source

    Not directly comparable

  • SWE-bench Verified*

    Composer 2
    Kimi K2.570.8%
    Source

    Not directly comparable

  • LiveCodeBench v6

    Composer 2
    Kimi K2.585.0%
    Source

    Not directly comparable

  • SWE-bench Pro

    Composer 2
    Kimi K2.550.7%
    Source

    Not directly comparable

  • SciCode

    Composer 2
    Kimi K2.548.7%
    Source

    Not directly comparable

Reasoning

  • LongBench v2

    Composer 2
    Kimi K2.561%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Composer 2
    Kimi K2.587.6%
    Source

    Not directly comparable

  • GPQA-D

    Composer 2
    Kimi K2.587.6%
    Source

    Not directly comparable

  • SuperGPQA

    Composer 2
    Kimi K2.569.2%
    Source

    Not directly comparable

  • MMLU-Pro

    Composer 2
    Kimi K2.587.1%
    Source

    Not directly comparable

  • MMLU-Pro (Arcee)

    Composer 2
    Kimi K2.587.1%
    Source

    Not directly comparable

  • HLE

    Composer 2
    Kimi K2.530.1%
    Source

    Not directly comparable

Math

  • AIME 2025

    Composer 2
    Kimi K2.596.1%
    Source

    Not directly comparable

  • AIME26

    Composer 2
    Kimi K2.595.8%
    Source

    Not directly comparable

  • AIME25 (Arcee)

    Composer 2
    Kimi K2.596.3%
    Source

    Not directly comparable

  • HMMT Feb 2025

    Composer 2
    Kimi K2.595.4%
    Source

    Not directly comparable

  • HMMT Nov 2025

    Composer 2
    Kimi K2.591.1%
    Source

    Not directly comparable

  • HMMT Feb 2026

    Composer 2
    Kimi K2.587.1%
    Source

    Not directly comparable

  • MMAnswerBench

    Composer 2
    Kimi K2.581.8%
    Source

    Not directly comparable

  • FrontierMath v2 (Tiers 1-3)

    Composer 2
    Kimi K2.527.900%
    Source

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    Composer 2
    Kimi K2.54.200%
    Source

    Not directly comparable

Multilingual

  • MMLU-ProX

    Composer 2
    Kimi K2.582.3%
    Source

    Not directly comparable

  • NOVA-63

    Composer 2
    Kimi K2.556.0%
    Source

    Not directly comparable

Multimodal

  • MMMU-Pro

    Composer 2
    Kimi K2.578.5%
    Source

    Not directly comparable

  • Video-MME

    Composer 2
    Kimi K2.587.4%
    Source

    Not directly comparable

  • MMVU

    Composer 2
    Kimi K2.580.4%
    Source

    Not directly comparable

  • VideoMMMU

    Composer 2
    Kimi K2.586.6%
    Source

    Not directly comparable

Instruction following

  • IFEval

    Composer 2
    Kimi K2.593.9%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Composer 2 or Kimi K2.5?

At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Composer 2 or Kimi K2.5?

The current coding averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, Composer 2 or Kimi K2.5?

The current agentic tasks averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.

Which costs less, Composer 2 or Kimi K2.5?

For the stated presets, chat costs $0.00175 on Composer 2 and $0.0021 on Kimi K2.5; repository review costs $0.0325 and $0.039; the cache-heavy agent loop costs $0.135 and $0.162. Composer 2 does not fit this workload in one request. Composer 2 has no published cached-input rate, so cached tokens use its listed input rate. Kimi K2.5 has no published cached-input rate, so cached tokens use its listed input rate.

Which has the larger context window, Composer 2 or Kimi K2.5?

Kimi K2.5 has the larger documented context window: 256K, compared with 200K.

Related comparisons

Last updated August 7, 2026

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