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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

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  3. Claude Opus 4.6 vs GPT-5.6 Sol

Pairwise benchmark snapshot · Aug 17, 2026

Claude Opus 4.6 vs GPT-5.6 Sol benchmark

In this head-to-head showdown, GPT-5.6 Sol delivers higher overall intelligence and human-preferred responses (Elo 1,608 vs 1,574), while GPT-5.6 Sol leads in SWE-bench software engineering benchmarks (77.6%), while Claude Opus 4.6 is more budget-friendly at $25/1M per 1M output tokens, while GPT-5.6 Sol provides faster response streaming (84 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Choose GPT-5.6 Sol if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Claude Opus 4.6 if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Verified Head-to-Head Advantage Breakdown

9 direct benchmark disciplines evaluated across capability, speed, and cost

Claude Opus 4.6 (1)GPT-5.6 Sol (8)
Claude Opus 4.6
1 of 9 Wins
✓Output price
GPT-5.6 Sol
8 of 9 Wins
✓Preference Elo✓Coding Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Time to first token✓Output speed✓Context window
Anthropic
Leads 1 of 9 metrics
Claude Opus 4.6

Follow-on Opus release. Slightly behind 4.5 on official SWE-bench bash-only in the last published sweep; stronger multi-step autonomous agent reasoning.

Opus 4.6Elo 1,574$25/1M out
OpenAI
Leads 8 of 9 metrics
GPT-5.6 Sol

OpenAI 5.6 flagship tier. Official API $5/$30 per 1M tokens (OpenAI pricing, Jul 30 2026 update left Sol unchanged).

Elo 1,608$30/1M out

Claude 4 Series Lineage & Sibling Variants

5 models

Currently comparing Claude Opus 4.6 vs GPT-5.6 Sol. Alternative family tiers available.

Active: Claude Opus 4.6
Claude Opus 4.5$25Claude Sonnet 4.5$15Claude Opus 4.8$25Claude Haiku 4.5$5

Claude Opus 4.6 Thinking Depth & Cost Scaler

Model A

Simulate accuracy gains vs added response time & token cost

Mode: Medium (16k budget)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Thinking Delay
360 ms
Standard speed
Reasoning Depth
~3,200
Internal tokens
Cost / 1k Calls
$90.00
9.0× standard bill
Accuracy Boost
+5.2% accuracy
STEM & SWE-bench

GPT-5.6 Sol Thinking Depth & Cost Scaler

Model B

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Standard)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Thinking Delay
270 ms
Standard speed
Reasoning Depth
~1,500
Internal tokens
Cost / 1k Calls
$56.50
4.9× standard bill
Accuracy Boost
+4.5% accuracy
STEM & SWE-bench
Top Rival Showdowns for Claude Opus 4.6
All Matchups
Compare vs:vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference LeaderGPT-5.6 Sol Wins

GPT-5.6 Sol

Δ 34 Arena Elo pts

Throughput LeaderGPT-5.6 Sol Wins

GPT-5.6 Sol

84 tok/s

Value per Dollar LeaderClaude Opus 4.6 Wins

Claude Opus 4.6

$25 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
Percentile 0–100
Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Claude Opus 4.6 (1)vsGPT-5.6 Sol (8)
Claude Opus 4.6: 1W (11%)Overall: GPT-5.6 SolGPT-5.6 Sol: 8W (89%)
← Claude Opus 4.61 tiesGPT-5.6 Sol →
🏆GPT-5.6 Sol(5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Benchmark
Claude Opus 4.6vsGPT-5.6 Sol
Preference Elo
1,574vs1,608+34
Coding Elo
1,570vs1,602+32
SWE-bench
75.9%vs77.6%+1.7%
LiveBench
72%vs73.9%+1.9%
GPQA Diamond
84.8%vs86.8%+2%
Claude Opus 4.6: 0WGPT-5.6 Sol: 5W
🏆GPT-5.6 Sol(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Claude Opus 4.6vsGPT-5.6 Sol
Output speed
64 tok/svs84 tok/s+20 tok/s
Time to first token
360 msvs270 ms+90 ms
Claude Opus 4.6: 0WGPT-5.6 Sol: 2W
Tied (1-1)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Claude Opus 4.6vsGPT-5.6 Sol
Output price
$25/1Mvs$30/1M+$5/1M
Input price
$5/1Mvs$5/1M
Context window
1Mvs1.1M+50k
Claude Opus 4.6: 1WGPT-5.6 Sol: 1W

Side-by-Side Benchmark Matrix

Preference Elo+34
Claude Opus 4.61,574
lmarena · Aug 17, 2026
GPT-5.6 Sol1,608
lmarena · Aug 16, 2026
Coding Elo+32
Claude Opus 4.61,570
lmarena · Aug 17, 2026
GPT-5.6 Sol1,602
lmarena · Aug 16, 2026
LiveBench+1.9%
Claude Opus 4.672%
livebench · Aug 17, 2026
GPT-5.6 Sol73.9%
livebench · Aug 16, 2026
SWE-bench+1.7%
Claude Opus 4.675.9%
swebench · Aug 17, 2026
GPT-5.6 Sol77.6%
swebench · Aug 16, 2026
GPQA Diamond+2%
Claude Opus 4.684.8%
seed-bootstrap · Aug 1, 2026
GPT-5.6 Sol86.8%
seed-bootstrap · Aug 16, 2026
Time to first token+90 ms
Claude Opus 4.6360 ms
seed-bootstrap · Aug 1, 2026
GPT-5.6 Sol270 ms
seed-bootstrap · Aug 16, 2026
Output speed+20 tok/s
Claude Opus 4.664 tok/s
seed-bootstrap · Aug 1, 2026
GPT-5.6 Sol84 tok/s
seed-bootstrap · Aug 16, 2026
Input price
Claude Opus 4.6$5/1M
openrouter · Aug 17, 2026
GPT-5.6 Sol$5/1M
openrouter · Aug 17, 2026
Output price+$5/1M
Claude Opus 4.6$25/1M
openrouter · Aug 17, 2026
GPT-5.6 Sol$30/1M
openrouter · Aug 17, 2026
Context window+50k
Claude Opus 4.61M
openrouter · Aug 17, 2026
GPT-5.6 Sol1.1M
openrouter · Aug 17, 2026
BenchmarkClaude Opus 4.6GPT-5.6 SolAdvantage Delta
Preference Elo
1,574
lmarena · Aug 17, 2026
1,608
lmarena · Aug 16, 2026
+34
Coding Elo
1,570
lmarena · Aug 17, 2026
1,602
lmarena · Aug 16, 2026
+32
LiveBench
72%
livebench · Aug 17, 2026
73.9%
livebench · Aug 16, 2026
+1.9%
SWE-bench
75.9%
swebench · Aug 17, 2026
77.6%
swebench · Aug 16, 2026
+1.7%
GPQA Diamond
84.8%
seed-bootstrap · Aug 1, 2026
86.8%
seed-bootstrap · Aug 16, 2026
+2%
Time to first token
360 ms
seed-bootstrap · Aug 1, 2026
270 ms
seed-bootstrap · Aug 16, 2026
+90 ms
Output speed
64 tok/s
seed-bootstrap · Aug 1, 2026
84 tok/s
seed-bootstrap · Aug 16, 2026
+20 tok/s
Input price
$5/1M
openrouter · Aug 17, 2026
$5/1M
openrouter · Aug 17, 2026
—
Output price
$25/1M
openrouter · Aug 17, 2026
$30/1M
openrouter · Aug 17, 2026
+$5/1M
Context window
1M
openrouter · Aug 17, 2026
1.1M
openrouter · Aug 17, 2026
+50k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 12% with Claude Opus 4.6
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Claude Opus 4.6$550.00 / mo
In: $175Out: $375
GPT-5.6 Sol$625.00 / mo
In: $175Out: $450
Estimated Cost Delta

Claude Opus 4.6 is estimated to save $75.00/month ($900/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    GPT-5.6 Sol:Pick GPT-5.6 Sol when repo-level coding accuracy is the constraint.
  • 2
    Claude Opus 4.6:Pick Claude Opus 4.6 when you are optimizing output cost.
  • 3
    GPT-5.6 Sol:Pick GPT-5.6 Sol when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGPT-5.6 Sol

Higher SWE-bench (77.6%).

High-volume chatClaude Opus 4.6

Lower output list price ($25/1M).

Voice / low-latency UIGPT-5.6 Sol

Lower TTFT (270 ms).

Long-document RAGGPT-5.6 Sol

Larger window (1.1M).

Screenshots / visionGPT-5.6 Sol

Both accept images. Defaulting to the higher-Elo side (GPT-5.6 Sol).

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsGPT-5.6 SolHigher SWE-bench (77.6%).
High-volume chatClaude Opus 4.6Lower output list price ($25/1M).
Voice / low-latency UIGPT-5.6 SolLower TTFT (270 ms).
Long-document RAGGPT-5.6 SolLarger window (1.1M).
Screenshots / visionGPT-5.6 SolBoth accept images. Defaulting to the higher-Elo side (GPT-5.6 Sol).

Related Editorial Dispatches & Benchmark Notes

View all news
compareAug 12, 2026

Grok vs ChatGPT: price and Elo, not a personality contest

Brand hub remaps to top xAI vs top OpenAI. After Aug 12 that is Grok 4.6 vs Sol.

compareJul 24, 2026

Claude vs GPT benchmark: this hub always remaps to the current Elo leaders

Not a frozen 2025 article. Today that is usually Opus 5 vs GPT-5.6 Sol. Dated cells, not a brand fight.

compareJul 16, 2026

Gemini vs GPT: long context versus the OpenAI flagship invoice

Hub remaps to top Google vs top OpenAI Elo. Usually 3.6 Pro vs Sol. Window vs price is the plot.

launchJul 9, 2026

GPT-5.6 Sol: OpenAI’s $5/$30 flagship tier on this leaderboard

Jul 9 2026 family; Jul 30 price update left Sol unchanged. This is the GPT side of Claude vs GPT.

Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Anthropic

Claude Opus 4.6

Elo 1,574
SWE-bench75.9%
Speed (tok/s)64 tok/s
Input / 1M Tokens$5/1M
Output / 1M Tokens$25/1M
OpenAI

GPT-5.6 Sol

Elo 1,608
SWE-bench77.6%
Speed (tok/s)84 tok/s
Input / 1M Tokens$5/1M
Output / 1M Tokens$30/1M

Frequently Asked Questions

Which is better overall, Claude Opus 4.6 or GPT-5.6 Sol?
GPT-5.6 Sol has the higher preference Elo in our latest snapshot (1,608). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude Opus 4.6 or GPT-5.6 Sol?
GPT-5.6 Sol leads SWE-bench at 77.6% vs 75.9%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
Claude Opus 4.6 output tokens are $25/1M versus $30/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4.6 or GPT-5.6 Sol?
GPT-5.6 Sol has the lower time-to-first-token (270 ms vs 360 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
GPT-5.6 Sol accepts 1.1M tokens versus 1M.
Can I self-host either model?
Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?
No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?
Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Claude Opus 4.6 and GPT-5.6 Sol Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • compare · Aug 12, 2026

    Grok vs ChatGPT: price and Elo, not a personality contest

  • compare · Jul 24, 2026

    Claude vs GPT benchmark: this hub always remaps to the current Elo leaders

  • compare · Jul 16, 2026

    Gemini vs GPT: long context versus the OpenAI flagship invoice

  • launch · Jul 9, 2026

    GPT-5.6 Sol: OpenAI’s $5/$30 flagship tier on this leaderboard

Similar Head-to-Head Comparisons

All Claude Opus 4.6 matchups →|All GPT-5.6 Sol matchups →
Claude Opus 4.6 vs Claude Opus 4.5 (previous opus)Claude Opus 4.6 vs Claude Opus 4.8 (next opus)GPT-5.6 Sol vs GPT-5 (previous gpt-flagship)GPT-5 vs Claude Opus 4.6Claude Sonnet 5 vs Claude Opus 4.6Claude Opus 4.8 vs GPT-5.6 Sol