Claude Opus 4.8 vs
Kimi K3

Read the published evidence, route context, and missing facts before making a local decision. This page does not name a universal winner.

Models in this comparison

Provider identity and evidence state stay balanced across the pair.

A
Model type
Proprietary
Evidence state
Supported evidence
Published context
1,000,000
VS
M

Moonshot AI

Kimi K3

Model type
Unknown
Evidence state
Supported evidence
Published context
1,050,000

Key implications

Broad shared-metric coverage. Each finding is tied to a published metric, price, context, or modality fact.

  1. Across compatible supported BenchLM categories, Claude Opus 4.8 has a higher score in Knowledge; Kimi K3 has higher scores in Agentic, Coding, and Overall (and 1 more category).
  2. Input API price: Kimi K3 has the lower verified rate ($3 / 1M tokens vs $5 / 1M tokens).
  3. Output API price: Kimi K3 has the lower verified rate ($15 / 1M tokens vs $25 / 1M tokens).
  4. Context window: Kimi K3 has the larger published context window (1,050,000 tokens vs 1,000,000 tokens).

Shared metric view

The radar is a per-axis relative view; exact values and units remain available in its adjacent table.

Per-axis relative view: each axis scales to the higher published value for that exact shared metric. The table preserves the exact published values and units.
  • Claude Opus 4.8: solid line
  • Kimi K3: dashed line
Claude Opus 4.8 and Kimi K3 shared metric radarAgenticCodingKnowledgeMultimodalGroundedOverall
Exact published values used in the per-axis relative radar chart.
MetricClaude Opus 4.8Kimi K3Unit
Agentic61.7873.64score
Coding71.9878.58score
Knowledge86.883.8score
MultimodalGrounded85.486.2score
Overall76.680.61score

Source metrics

Friendly metric names and published units stay visible. Missing measurements remain unavailable rather than becoming a score.

Source metric comparison
MetricUnitClaude Opus 4.8Kimi K3
Agenticscore61.7873.64
Codingscore71.9878.58
Knowledgescore86.883.8
Mathscore66.8Unavailable
MultimodalGroundedscore85.486.2
Reasoningscore68.3Unavailable
Overallscore76.680.61

Agentic

Unit
score
Claude Opus 4.8
61.78
Kimi K3
73.64

Coding

Unit
score
Claude Opus 4.8
71.98
Kimi K3
78.58

Knowledge

Unit
score
Claude Opus 4.8
86.8
Kimi K3
83.8

Math

Unit
score
Claude Opus 4.8
66.8
Kimi K3
Unavailable

MultimodalGrounded

Unit
score
Claude Opus 4.8
85.4
Kimi K3
86.2

Reasoning

Unit
score
Claude Opus 4.8
68.3
Kimi K3
Unavailable

Overall

Unit
score
Claude Opus 4.8
76.6
Kimi K3
80.61

Pricing and context

Verification is shown beside each selected route. Missing facts remain Not verified.

Route pricing and context comparison
FieldUnitClaude Opus 4.8Kimi K3
Input API priceUSD / 1M tokens$5$3
Cached input API priceUSD / 1M tokensNot verified$0.3
Output API priceUSD / 1M tokens$25$15
Route contexttokens1,000,0001,050,000
Input modalitiespublished listNot verifiedNot verified
Output modalitiespublished listNot verifiedNot verified

Input API price

Unit
USD / 1M tokens
Claude Opus 4.8
$5
Kimi K3
$3

Cached input API price

Unit
USD / 1M tokens
Claude Opus 4.8
Not verified
Kimi K3
$0.3

Output API price

Unit
USD / 1M tokens
Claude Opus 4.8
$25
Kimi K3
$15

Route context

Unit
tokens
Claude Opus 4.8
1,000,000
Kimi K3
1,050,000

Input modalities

Unit
published list
Claude Opus 4.8
Not verified
Kimi K3
Not verified

Output modalities

Unit
published list
Claude Opus 4.8
Not verified
Kimi K3
Not verified

Evidence provenance

Source records, route identity, timestamps, and methodology are consolidated here without declaring either model a winner.

Publication time
Aug 30, 2026, 2:15 AM UTC
Freshness
Stale — Published weekly benchmark evidence has not refreshed within 8 days.
Methodology
benchlm: benchlm_raw_composite
Model records
  • Claude Opus 4.8 — source benchlm · artifact models · model claude-opus-4-8
  • Kimi K3 — source benchlm · artifact models · model kimi-3
Selected price routes
  • Claude Opus 4.8 — route benchlm:claude-opus-4-8 · source benchlm · provider anthropic
  • Kimi K3 — route benchlm:kimi-3 · source benchlm · provider moonshot-ai

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