Model comparison

Inkling-Small vs Kimi K2.7 Code

Updated July 30, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Inkling-Small

Thinking Machines Lab

—

Evidence status unavailable

90% interval unavailable

Kimi K2.7 Code

Moonshot AI

54.0/100

Estimated · Public rank #92

90% interval 42.2–65.8

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

1 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
Inkling-Small
Inkling-Small has the larger documented context window.
Confidence: documented
Chat turn cost
1K fresh input + 500 output tokens
Inkling-Small
Inkling-Small has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Inkling-Small
Inkling-Small has the lower estimated token cost for this stated workload. Kimi K2.7 Code has no published cached-input rate, so cached tokens use its listed input rate.
Confidence: rate-fallback

Show secondary and unsupported calls

Repository review cost
50K fresh input + 3K output tokens
Inkling-Small
Inkling-Small 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
No shared weighted benchmark basis supports a winner.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited

What is actually comparable

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

19 Inkling-Small only

1 Shared

6 Kimi K2.7 Code only

Shared results: 1
Inkling-Small only: 19
Kimi K2.7 Code only: 6
Like-for-like categories: 0 / 8

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

Not comparable

Inkling-Small: 70.1
Kimi K2.7 Code: Not measured
Weighted basis: 2 vs 0 rows
Reading: Not comparable

Coding

Not comparable

Inkling-Small: 62.4
Kimi K2.7 Code: Not measured
Weighted basis: 3 vs 0 rows
Reading: Not comparable

Reasoning

Not comparable

Inkling-Small: 40.1
Kimi K2.7 Code: Not measured
Weighted basis: 1 vs 0 rows
Reading: Not comparable

Knowledge

Not comparable

Inkling-Small: 53.4
Kimi K2.7 Code: Not measured
Weighted basis: 2 vs 0 rows
Reading: Not comparable

Math

Not comparable

Inkling-Small: 92.9
Kimi K2.7 Code: Not measured
Weighted basis: 2 vs 0 rows
Reading: Not comparable

Multilingual

Not comparable

Inkling-Small: Not measured
Kimi K2.7 Code: Not measured
Weighted basis: 0 vs 0 rows
Reading: Not comparable

Multimodal

Not comparable

Inkling-Small: 76.6
Kimi K2.7 Code: Not measured
Weighted basis: 2 vs 0 rows
Reading: Not comparable

Instruction following

Not comparable

Inkling-Small: 82.2
Kimi K2.7 Code: Not measured
Weighted basis: 1 vs 0 rows
Reading: Not comparable

Category averages with the server-provided evidence basis for Inkling-Small and Kimi K2.7 Code
Category	Inkling-Small	Kimi K2.7 Code	Weighted basis	Reading
Agentic	70.1	Not measured	Not comparable2 vs 0 rows	Not comparable
Coding	62.4	Not measured	Not comparable3 vs 0 rows	Not comparable
Reasoning	40.1	Not measured	Not comparable1 vs 0 rows	Not comparable
Knowledge	53.4	Not measured	Not comparable2 vs 0 rows	Not comparable
Math	92.9	Not measured	Not comparable2 vs 0 rows	Not comparable
Multilingual	Not measured	Not measured	Not comparable0 vs 0 rows	Not comparable
Multimodal	76.6	Not measured	Not comparable2 vs 0 rows	Not comparable
Instruction following	82.2	Not measured	Not comparable1 vs 0 rows	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.

A shared-evidence shape is not available.

BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.

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

Inkling-Small: $0.0013; Fits in one request
Kimi K2.7 Code: $0.00295; Fits in one request

Inkling-Small has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

Inkling-Small: $0.03332; Fits in one request
Kimi K2.7 Code: $0.0595; Fits in one request

Inkling-Small has the lower modeled cost

Costs use the listed standard API rates.

Cache-heavy agent loop

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

Inkling-Small: $0.0492; Fits in one request
Kimi K2.7 Code: $0.249; Fits in one request; Cached input priced at the published list-input rate

Inkling-Small has the lower modeled cost

Kimi K2.7 Code 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.

SpecificationInkling-SmallKimi K2.7 Code

Context window

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

Inkling-Small

Kimi K2.7 Code

256K

API model ID

Inkling-Small

Not sourced

Kimi K2.7 Code

Not sourced

Cached-input rate

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

Inkling-Small

$0.116 per 1M cached input tokens

Kimi K2.7 Code

Not published

Documented inputs

Inkling-Small

Not sourced

Kimi K2.7 Code

Not sourced

Documented outputs

Inkling-Small

Not sourced

Kimi K2.7 Code

Not sourced

Provider availability

Inkling-Small

Not sourced

Kimi K2.7 Code

Not sourced

Reasoning profile

Inkling-Small

Hybrid

Kimi K2.7 Code

Reasoning

Weight access

Inkling-Small

Open Weight

Kimi K2.7 Code

Open Weight

License

Inkling-Small

Open Weight

Kimi K2.7 Code

Open Weight

Release date

Inkling-Small

2026-07-30

Kimi K2.7 Code

2026-06-12

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: $0.03332 vs $0.0595. Cache-heavy agent loop: $0.0492 vs $0.249.
Context tradeoff: Inkling-Small has the larger documented window (1M).

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.

Inkling-Small

API / mo$1,515

Self-host / moNot listed

Break-even—

Proprietary model — self-hosting not applicable.

Kimi K2.7 Code

API / mo$3,713

Self-host / mo$18,221

Break-even326M/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 evidence26 rows

Agentic

Terminal-Bench 2.0
Inkling-Small64.7%
Source
Kimi K2.7 Code—
Not directly comparable
BrowseComp
Inkling-Small77.4%
Source
Kimi K2.7 Code—
Not directly comparable
MCP Atlas
Inkling-Small79.6%
Source
Kimi K2.7 Code76%
Source
Inkling-Small leads this result
Toolathlon-Verified
Inkling-Small54.4%
Source
Kimi K2.7 Code—
Not directly comparable
Kimi Claw 24/7
Inkling-Small—
Kimi K2.7 Code46.9%
Source
Not directly comparable
MCP Mark Verified
Inkling-Small—
Kimi K2.7 Code81.1%
Source
Not directly comparable

Coding

SWE-bench Verified
Inkling-Small80.2%
Source
Kimi K2.7 Code—
Not directly comparable
SWE-bench Pro
Inkling-Small55.9%
Source
Kimi K2.7 Code—
Not directly comparable
Terminal-Bench 2.0
Inkling-Small64.7%
Source
Kimi K2.7 Code—
Not directly comparable
SciCode
Inkling-Small48.7%
Source
Kimi K2.7 Code—
Not directly comparable
Kimi Code Bench v2
Inkling-Small—
Kimi K2.7 Code62.0%
Source
Not directly comparable
ProgramBench
Inkling-Small—
Kimi K2.7 Code53.6%
Source
Not directly comparable
MLS-Bench Lite
Inkling-Small—
Kimi K2.7 Code35.1%
Source
Not directly comparable
cursorBench32
Inkling-Small—
Kimi K2.7 Code49.7%
Source
Not directly comparable

Reasoning

ARC-AGI-2
Inkling-Small40.1%
Source
Kimi K2.7 Code—
Not directly comparable
CritPt
Inkling-Small8.3%
Source
Kimi K2.7 Code—
Not directly comparable

Knowledge

GPQA
Inkling-Small89.5%
Source
Kimi K2.7 Code—
Not directly comparable
GPQA-D
Inkling-Small89.5%
Source
Kimi K2.7 Code—
Not directly comparable
HLE
Inkling-Small47.8%
Source
Kimi K2.7 Code—
Not directly comparable
HLE w/o tools
Inkling-Small31.6%
Source
Kimi K2.7 Code—
Not directly comparable

Math

AIME26
Inkling-Small95.5%
Source
Kimi K2.7 Code—
Not directly comparable
HMMT Feb 2026
Inkling-Small90.2%
Source
Kimi K2.7 Code—
Not directly comparable

Multimodal

MMMU-Pro
Inkling-Small74%
Source
Kimi K2.7 Code—
Not directly comparable
CharXiv
Inkling-Small81.3%
Source
Kimi K2.7 Code—
Not directly comparable
CharXiv w/o tools
Inkling-Small77.4%
Source
Kimi K2.7 Code—
Not directly comparable

Instruction following

IFBench
Inkling-Small82.2%
Source
Kimi K2.7 Code—
Not directly comparable

Frequently asked questions

Which is better, Inkling-Small or Kimi K2.7 Code?

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, Inkling-Small or Kimi K2.7 Code?

The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.

Which is better for agentic tasks, Inkling-Small or Kimi K2.7 Code?

The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.

Which costs less, Inkling-Small or Kimi K2.7 Code?

For the stated presets, chat costs $0.0013 on Inkling-Small and $0.00295 on Kimi K2.7 Code; repository review costs $0.03332 and $0.0595; the cache-heavy agent loop costs $0.0492 and $0.249. Kimi K2.7 Code has no published cached-input rate, so cached tokens use its listed input rate.

Which has the larger context window, Inkling-Small or Kimi K2.7 Code?

Inkling-Small has the larger documented context window: 1M, compared with 256K.

Related comparisons

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Last updated July 30, 2026

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Inkling-Small vs Kimi K2.7 Code

Which one for your work

Long documents

Chat turn cost

Cache-heavy agent loop cost

Repository review cost

Coding work

Agentic work

What is actually comparable

Category results, on a stated basis

Agentic

Coding

Reasoning

Knowledge

Math

Multilingual

Multimodal

Instruction following

Shape of the matched evidence

What each workload costs

Chat turn

Repository review

Cache-heavy agent loop

Specification differences

Context window

API model ID

Cached-input rate

Documented inputs

Documented outputs

Provider availability

Reasoning profile

Weight access

License

Release date

Self-host vs API cost

Benchmark evidence

Agentic

Coding

Reasoning

Knowledge

Math

Multimodal

Instruction following

Frequently asked questions

Which is better, Inkling-Small or Kimi K2.7 Code?

Which is better for coding, Inkling-Small or Kimi K2.7 Code?

Which is better for agentic tasks, Inkling-Small or Kimi K2.7 Code?

Which costs less, Inkling-Small or Kimi K2.7 Code?

Which has the larger context window, Inkling-Small or Kimi K2.7 Code?

Related comparisons

Watch Inkling-Small vs Kimi K2.7 Code