Claude Opus 4.8 vs
GPT-5.6 Sol

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
Model type
Proprietary
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 higher scores in MultimodalGrounded and Knowledge; GPT-5.6 Sol has higher scores in Agentic, Coding, and Overall.
  2. Output API price: Claude Opus 4.8 has the lower verified rate ($25 / 1M tokens vs $30 / 1M tokens).
  3. Context window: GPT-5.6 Sol 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
  • GPT-5.6 Sol: dashed line
Claude Opus 4.8 and GPT-5.6 Sol shared metric radarAgenticCodingKnowledgeMultimodalGroundedOverall
Exact published values used in the per-axis relative radar chart.
MetricClaude Opus 4.8GPT-5.6 SolUnit
Agentic61.7868.88score
Coding71.9879.01score
Knowledge86.886score
MultimodalGrounded85.482.7score
Overall76.682.2score

Source metrics

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

Source metric comparison
MetricUnitClaude Opus 4.8GPT-5.6 Sol
Agenticscore61.7868.88
Codingscore71.9879.01
Knowledgescore86.886
Mathscore66.897
MultimodalGroundedscore85.482.7
Reasoningscore68.385.2
Overallscore76.682.2

Agentic

Unit
score
Claude Opus 4.8
61.78
GPT-5.6 Sol
68.88

Coding

Unit
score
Claude Opus 4.8
71.98
GPT-5.6 Sol
79.01

Knowledge

Unit
score
Claude Opus 4.8
86.8
GPT-5.6 Sol
86

Math

Unit
score
Claude Opus 4.8
66.8
GPT-5.6 Sol
97

MultimodalGrounded

Unit
score
Claude Opus 4.8
85.4
GPT-5.6 Sol
82.7

Reasoning

Unit
score
Claude Opus 4.8
68.3
GPT-5.6 Sol
85.2

Overall

Unit
score
Claude Opus 4.8
76.6
GPT-5.6 Sol
82.2

Pricing and context

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

Route pricing and context comparison
FieldUnitClaude Opus 4.8GPT-5.6 Sol
Input API priceUSD / 1M tokens$5$5
Cached input API priceUSD / 1M tokensNot verified$0.5
Output API priceUSD / 1M tokens$25$30
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
GPT-5.6 Sol
$5

Cached input API price

Unit
USD / 1M tokens
Claude Opus 4.8
Not verified
GPT-5.6 Sol
$0.5

Output API price

Unit
USD / 1M tokens
Claude Opus 4.8
$25
GPT-5.6 Sol
$30

Route context

Unit
tokens
Claude Opus 4.8
1,000,000
GPT-5.6 Sol
1,050,000

Input modalities

Unit
published list
Claude Opus 4.8
Not verified
GPT-5.6 Sol
Not verified

Output modalities

Unit
published list
Claude Opus 4.8
Not verified
GPT-5.6 Sol
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
  • GPT-5.6 Sol — source benchlm · artifact models · model gpt-5-6-sol
Selected price routes
  • Claude Opus 4.8 — route benchlm:claude-opus-4-8 · source benchlm · provider anthropic
  • GPT-5.6 Sol — route benchlm:gpt-5-6-sol · source benchlm · provider openai

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