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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. Auto Router (Beta) vs Claude Opus 4.5
Independent ReportPairwise benchmark snapshot · Aug 17, 2026
noindex (thin pair)
Auto Router (Beta)(openrouter)
vs
Claude Opus 4.5(Anthropic)

Auto Router (Beta) vs Claude Opus 4.5 benchmark

In this head-to-head showdown, Auto Router (Beta) is more budget-friendly at $-1,000,000/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Both Auto Router (Beta) and Claude Opus 4.5 present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Executive Verdict Summary

Auto Router (Beta) holds empirical advantage (3 of 3 metrics)

Coding / SWESWE-bench
Claude Opus 4.5Top code solve rate
ReasoningGPQA / Live
Claude Opus 4.5Top logical accuracy
Best Value$/1M Tok
Auto Router (Beta)Lowest API billing cost
Speed / TokTok/Sec
Claude Opus 4.5Fastest stream rate

Verified Advantage Breakdown

3 benchmarks evaluated across capability, speed, and cost

Auto Router (Beta) (3)Claude Opus 4.5 (0)
Auto Router (Beta)
3 of 3 Wins
✓Input price✓Output price✓Context window
Claude Opus 4.5
0 of 3 Wins
Competitive baseline across remaining benchmarks
openrouter
Leads 3 of 3
Auto Router (Beta)

Auto-discovered from OpenRouter (openrouter/auto-beta). Preview until a second source matches.

In: $-1,000,000 · Out: $-1,000,000/1M
Anthropic
Claude Opus 4.5

Anthropic frontier coding and computer-use model. SWE-bench leader on the official mini-SWE-agent harness in the Feb 2026 refresh.

Elo 1,568In: $5 · Out: $25/1M

Claude Opus 4.5 Thinking Depth & Cost Scaler

Model B

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.

Delay
380 ms
Standard
CoT Tokens
~3,200
Internal reasoning
Cost / 1k
$90.00
9.0× base bill
Accuracy Boost
+5.2%
STEM & Logic
Top Rival Showdowns for Auto Router (Beta)
All Matchups
Compare vs:vs Claude Opus 4.6vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderAuto Router (Beta) Wins

Auto Router (Beta)

$-1000000 / 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 standard models across 6 key capability dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile

Overall Matchup Breakdown

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

Auto Router (Beta) (3)vsClaude Opus 4.5 (7)
Auto Router (Beta): 3W (30%)Overall: Claude Opus 4.5Claude Opus 4.5: 7W (70%)
← Auto Router (Beta)Claude Opus 4.5 →
🏆Claude Opus 4.5 Leads(5/5)

Intelligence & Reasoning

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

Benchmark
Auto Router (Beta)vsClaude Opus 4.5
Preference Elo
—vs1,568
Coding Elo
—vs1,574
SWE-bench
—vs76.8%
LiveBench
—vs71.2%
GPQA Diamond
—vs84.1%
Auto Router (Beta): 0WClaude Opus 4.5: 5W
🏆Claude Opus 4.5 Leads(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Auto Router (Beta)vsClaude Opus 4.5
Output speed
—vs62 tok/s
Time to first token
—vs380 ms
Auto Router (Beta): 0WClaude Opus 4.5: 2W
🏆Auto Router (Beta) Leads(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Auto Router (Beta)vsClaude Opus 4.5
Output price
$-1,000,000/1Mvs$25/1M+$1,000,025/1M
Input price
$-1,000,000/1Mvs$5/1M+$1,000,005/1M
Context window
2Mvs200k+1.8M
Auto Router (Beta): 3WClaude Opus 4.5: 0W

Side-by-Side Benchmark Matrix

Auto Router (Beta)Claude Opus 4.5
Preference Elo(Higher is better)
Auto Router (Beta)—
Claude Opus 4.51,568
Coding Elo(Higher is better)
Auto Router (Beta)—
Claude Opus 4.51,574
LiveBench(Higher is better)
Auto Router (Beta)—
Claude Opus 4.571.2%
SWE-bench(Higher is better)
Auto Router (Beta)—
Claude Opus 4.576.8%
GPQA Diamond(Higher is better)
Auto Router (Beta)—
Claude Opus 4.584.1%
Time to first token(Lower is better)
Auto Router (Beta)—
Claude Opus 4.5380 ms
Output speed(Higher is better)
Auto Router (Beta)—
Claude Opus 4.562 tok/s
Input price(Lower is better)
Auto Router (Beta) +$1,000,005/1M
Auto Router (Beta)$-1,000,000/1M
Claude Opus 4.5$5/1M
Output price(Lower is better)
Auto Router (Beta) +$1,000,025/1M
Auto Router (Beta)$-1,000,000/1M
Claude Opus 4.5$25/1M
Context window(Higher is better)
Auto Router (Beta) +1.8M
Auto Router (Beta)2M
Claude Opus 4.5200k
BenchmarkAuto Router (Beta)Claude Opus 4.5Difference / Delta
Preference Elo—
1,568
lmarena · Aug 17, 2026
—
Coding Elo—
1,574
lmarena · Aug 17, 2026
—
LiveBench—
71.2%
livebench · Aug 17, 2026
—
SWE-bench—
76.8%
swebench · Aug 17, 2026
—
GPQA Diamond—
84.1%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
380 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
62 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$-1,000,000/1M
openrouter · Aug 17, 2026
$5/1M
openrouter · Aug 17, 2026
Auto Router (Beta)+$1,000,005/1M
Output price
$-1,000,000/1M
openrouter · Aug 17, 2026
$25/1M
openrouter · Aug 17, 2026
Auto Router (Beta)+$1,000,025/1M
Context window
2M
openrouter · Aug 17, 2026
200k
openrouter · Aug 17, 2026
Auto Router (Beta)+1.8M

Key Selection Recommendations

  • 1
    Auto Router (Beta):Pick Auto Router (Beta) when you are optimizing output cost.
  • 2
    Auto Router (Beta):Pick Auto Router (Beta) for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatAuto Router (Beta)

Lower output list price ($-1,000,000/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGAuto Router (Beta)

Larger window (2M).

Screenshots / visionClaude Opus 4.5

Claude Opus 4.5 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatAuto Router (Beta)Lower output list price ($-1,000,000/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGAuto Router (Beta)Larger window (2M).
Screenshots / visionClaude Opus 4.5Claude Opus 4.5 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchFeb 20, 2026

Claude Opus 4.5 and the Feb 2026 SWE-bench row we still cite

The Feb refresh made 4.5 a coding reference. Newer Opus SKUs exist; this row stays as the dated harness point.

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
openrouter

Auto Router (Beta)

Elo n/a
SWE-bench—
Speed (tok/s)2M
Input / 1M Tokens$-1,000,000/1M
Output / 1M Tokens$-1,000,000/1M
Anthropic

Claude Opus 4.5

Elo 1,568
SWE-bench76.8%
Speed (tok/s)62 tok/s
Input / 1M Tokens$5/1M
Output / 1M Tokens$25/1M

Frequently Asked Questions

Which is better overall, Auto Router (Beta) or Claude Opus 4.5?
We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Auto Router (Beta) or Claude Opus 4.5?
SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?
Auto Router (Beta) output tokens are $-1,000,000/1M versus $25/1M. Input prices and retry rates still move the real bill.
Which is faster, Auto Router (Beta) or Claude Opus 4.5?
We do not have TTFT for both models.
Which has the larger context window?
Auto Router (Beta) accepts 2M tokens versus 200k.
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. Auto Router (Beta) and Claude Opus 4.5 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Feb 20, 2026

    Claude Opus 4.5 and the Feb 2026 SWE-bench row we still cite

Similar Head-to-Head Comparisons

All Auto Router (Beta) matchups →|All Claude Opus 4.5 matchups →
Claude Opus 4.5 vs Claude Opus 4 (previous opus)Claude Opus 4.5 vs Claude Opus 4.6 (next opus)Claude Sonnet 4.5 vs Claude Opus 4.5Claude Opus 5 vs Claude Opus 4.5Claude Fable 5 vs Claude Opus 4.5Claude Opus 4.8 vs Claude Opus 4.5