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Grok 3 Mini vs Kimi K2.6

Updated October 26, 2026. Rank says Kimi K2.6 is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

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Decision reading

Kimi K2.6 has the higher public point estimate, 58.36 versus 44.28. Their conditional score ranges overlap. These ranges do not establish rank confidence. 1 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A
xAI logo

xAI

44.28/100

Estimated · Public rank #124

Conditional range 34.6–54.0

Model B
Moonshot AI logo

Moonshot AI

58.36/100

Estimated · Public rank #61

Conditional range 48.6–68.1

Shared results
1
Grok 3 Mini only
2
Kimi K2.6 only
36
Like-for-like categories
0 / 8
Estimated: Grok 3 Mini and Kimi K2.6. Conditional ranges do not establish rank confidence.How the comparison works

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 K2.6

    Kimi K2.6 has the larger documented context window.

    Confidence: documented
  • Chat turn cost

    1K fresh input + 500 output tokens

    Grok 3 Mini

    Grok 3 Mini 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

    Grok 3 Mini

    Grok 3 Mini 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

    Grok 3 Mini is not ranked on the public lane for coding, so no winner is named for coding.

    Confidence: limited
  • Agentic work

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

    Not enough matched evidence

    Grok 3 Mini is not ranked on the public lane for agentic, so no winner is named for agentic.

    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. Grok 3 Mini does not fit this workload in one request. Grok 3 Mini has no published cached-input rate, so cached tokens use its listed input rate.

    Confidence: rate-fallback

Which one for a specific job

Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.

The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.

—Grok 3 Mini43.5Kimi K2.6

Not comparable · BenchAlign v5.8

The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.

Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.

Same basis rules as the category table below

What is actually comparable

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

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.

Bars run 0–100 on each benchmark’s normalized display scale

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign v5.8 lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Agentic

Not comparable
Grok 3 Mini
Not ranked
Kimi K2.6
44.1
Supported · #64/133
Basis
BenchAlign v5.8 lane · 0 vs 12 public rows
Reading
Not comparable

Coding

Not comparable
Grok 3 Mini
Not ranked
Kimi K2.6
43.5
Supported · #61/154
Basis
BenchAlign v5.8 lane · 1 vs 10 public rows
Reading
Not comparable

Reasoning

Not comparable
Grok 3 Mini
Not ranked
Kimi K2.6
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Grok 3 Mini
Not ranked
Kimi K2.6
73.5
#30/58
Basis
Provisional lane · 0 vs 2 weighted rows
Reading
Not comparable

Knowledge

Not comparable
Grok 3 Mini
Not ranked
Kimi K2.6
59.5
Supported · #50/188
Basis
BenchAlign v5.8 lane · 1 vs 5 public rows
Reading
Not comparable

Multilingual

Not comparable
Grok 3 Mini
Not ranked
Kimi K2.6
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Grok 3 Mini
Not ranked
Kimi K2.6
83.5
#57/155
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
Grok 3 Mini
Not ranked
Kimi K2.6
76.8
#4/12
Basis
Provisional lane · 0 vs 4 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Supported evidence per lane · bars run 0–100Methodology

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

Grok 3 Mini
$0.00055
Fits in one request
Kimi K2.6
$0.00295
Fits in one request

Grok 3 Mini has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

Grok 3 Mini
$0.0165
Fits in one request
Kimi K2.6
$0.0595
Fits in one request

Grok 3 Mini has the lower modeled cost

Costs use the listed standard API rates.

Cache-heavy agent loop

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

Grok 3 Mini
$0.071
Does not fit in one request
Cached input priced at the published list-input rate
Kimi K2.6
$0.091
Fits in one request

Grok 3 Mini does not fit this workload in one request. Grok 3 Mini has no published cached-input rate, so cached tokens use its listed input rate.

Cached input falls back to the list input rate only where a cached rate is unpublished

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.

Grok 3 Mini

128K

Kimi K2.6

256K

API model ID

Grok 3 Mini

Not sourced

Kimi K2.6

Not sourced

Cached-input rate

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

Grok 3 Mini

Not published

Kimi K2.6

$0.16 per 1M cached input tokens

Documented inputs

Grok 3 Mini

Not sourced

Kimi K2.6

Not sourced

Documented outputs

Grok 3 Mini

Not sourced

Kimi K2.6

Not sourced

Provider availability

Grok 3 Mini

Not sourced

Kimi K2.6

Not sourced

Reasoning profile

Grok 3 Mini

Reasoning

Kimi K2.6

Reasoning

Weight access

Grok 3 Mini

Proprietary

Kimi K2.6

Open Weight

License

Grok 3 Mini

Proprietary

Kimi K2.6

Open Weight

Release date

Grok 3 Mini

2025-02-19

Kimi K2.6

2026-04-20

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
Kimi K2.6 has the higher public point estimate, 58.36 versus 44.28. Their conditional score ranges overlap. These ranges do not establish rank confidence.
Workload cost
Repository review: $0.0165 vs $0.0595. Cache-heavy agent loop: $0.071 vs $0.091.
Context tradeoff
Kimi K2.6 has the larger documented window (256K).
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Grok 3 Mini or Kimi K2.6?

Kimi K2.6 has the higher public point estimate, 58.36 versus 44.28. Their conditional score ranges overlap. These ranges do not establish rank confidence. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Grok 3 Mini or Kimi K2.6?

Grok 3 Mini is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Grok 3 Mini or Kimi K2.6?

Grok 3 Mini is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Grok 3 Mini or Kimi K2.6?

For the stated presets, chat costs $0.00055 on Grok 3 Mini and $0.00295 on Kimi K2.6; repository review costs $0.0165 and $0.0595; the cache-heavy agent loop costs $0.071 and $0.091. Grok 3 Mini does not fit this workload in one request. Grok 3 Mini has no published cached-input rate, so cached tokens use its listed input rate.

Which has the larger context window, Grok 3 Mini or Kimi K2.6?

Kimi K2.6 has the larger documented context window: 256K, compared with 128K.

Self-host vs API cost

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

Grok 3 Mini
API / mo$600
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Kimi K2.6
API / mo$3,713
Self-host / mo$27,962
Break-even500M/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 evidence39 rows

Agentic

  • Terminal-Bench 2.0

    Grok 3 Mini—
    Kimi K2.666.7%
    Source

    Not directly comparable

  • BrowseComp

    Grok 3 Mini—
    Kimi K2.683.2%
    Source

    Not directly comparable

  • OSWorld-Verified

    Grok 3 Mini—
    Kimi K2.673.1%
    Source

    Not directly comparable

  • Toolathlon

    Grok 3 Mini—
    Kimi K2.650%
    Source

    Not directly comparable

  • MCP Atlas

    Grok 3 Mini—
    Kimi K2.655.9%
    Source

    Not directly comparable

  • Claw-Eval

    Grok 3 Mini—
    Kimi K2.662.3%
    Source

    Not directly comparable

  • DeepSearchQA

    Grok 3 Mini—
    Kimi K2.692.5%
    Source

    Not directly comparable

  • WideResearch

    Grok 3 Mini—
    Kimi K2.680.8%
    Source

    Not directly comparable

  • Gert Labs

    Grok 3 Mini—
    Kimi K2.656.82%
    Source

    Not directly comparable

  • ResearchClawBench

    Grok 3 Mini—
    Kimi K2.618.0%
    Source

    Not directly comparable

  • OSWorld 2.0

    Grok 3 Mini—
    Kimi K2.64.6%
    Source

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    Grok 3 Mini—
    Kimi K2.653.6%
    Source

    Not directly comparable

Coding

  • LiveCodeBench

    Grok 3 Mini74.8%
    Source
    Kimi K2.6—

    Not directly comparable

  • SWE-bench Verified

    Grok 3 Mini—
    Kimi K2.680.2%
    Source

    Not directly comparable

  • LiveCodeBench v6

    Grok 3 Mini—
    Kimi K2.689.6%
    Source

    Not directly comparable

  • SWE-bench Pro

    Grok 3 Mini—
    Kimi K2.658.6%
    Source

    Not directly comparable

  • SWE Multilingual

    Grok 3 Mini—
    Kimi K2.676.7%
    Source

    Not directly comparable

  • SciCode

    Grok 3 Mini—
    Kimi K2.652.2%
    Source

    Not directly comparable

  • Terminal-Bench 2.0

    Grok 3 Mini—
    Kimi K2.666.7%
    Source

    Not directly comparable

  • Vibe Code Bench

    Grok 3 Mini—
    Kimi K2.637.89%
    Source

    Not directly comparable

  • cursorBench31

    Grok 3 Mini—
    Kimi K2.647.6%
    Source

    Not directly comparable

  • LiveCodeBench (Vals)

    Grok 3 Mini—
    Kimi K2.686.8%
    Source

    Not directly comparable

  • SWE-bench (Vals)

    Grok 3 Mini—
    Kimi K2.676.2%
    Source

    Not directly comparable

Multimodal

  • MMMU-Pro

    Grok 3 Mini—
    Kimi K2.679.4%
    Source

    Not directly comparable

  • MMMU-Pro w/ Python

    Grok 3 Mini—
    Kimi K2.680.1%
    Source

    Not directly comparable

  • CharXiv

    Grok 3 Mini—
    Kimi K2.680.4%
    Source

    Not directly comparable

  • MathVision

    Grok 3 Mini—
    Kimi K2.687.4%
    Source

    Not directly comparable

  • V*

    Grok 3 Mini—
    Kimi K2.696.9%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Grok 3 Mini80.3%
    Source
    Kimi K2.690.5%
    Source

    Kimi K2.6 leads this result

  • GPQA-D

    Grok 3 Mini—
    Kimi K2.690.5%
    Source

    Not directly comparable

  • HLE

    Grok 3 Mini—
    Kimi K2.634.7%
    Source

    Not directly comparable

  • GPQA Diamond (Vals)

    Grok 3 Mini—
    Kimi K2.689.1%
    Source

    Not directly comparable

  • MMLU-Pro (Vals)

    Grok 3 Mini—
    Kimi K2.687.6%
    Source

    Not directly comparable

Math

  • AIME 2024

    Grok 3 Mini89.5%
    Source
    Kimi K2.6—

    Not directly comparable

  • AIME26

    Grok 3 Mini—
    Kimi K2.696.4%
    Source

    Not directly comparable

  • HMMT Feb 2026

    Grok 3 Mini—
    Kimi K2.692.7%
    Source

    Not directly comparable

  • MMAnswerBench

    Grok 3 Mini—
    Kimi K2.686.0%
    Source

    Not directly comparable

  • FrontierMath v2 (Tiers 1-3)

    Grok 3 Mini—
    Kimi K2.657.193%
    Source

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    Grok 3 Mini—
    Kimi K2.625.641%
    Source

    Not directly comparable

39 public results · 1 shared

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Last updated October 26, 2026