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Every score has a dated snapshot.

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  3. Anthropic: Claude Opus 4.6 (batch) vs GPT-4.5 Orion

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Anthropic: Claude Opus 4.6 (batch) vs GPT-4.5 Orion benchmark

In this head-to-head showdown, Anthropic: Claude Opus 4.6 (batch) is more budget-friendly at $12.5/1M 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 Anthropic: Claude Opus 4.6 (batch) and GPT-4.5 Orion present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Verified Head-to-Head Advantage Breakdown

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

Anthropic: Claude Opus 4.6 (batch) (3)GPT-4.5 Orion (0)
Anthropic: Claude Opus 4.6 (batch)
3 of 3 Wins
✓Input price✓Output price✓Context window
GPT-4.5 Orion
0 of 3 Wins
Competitive baseline across remaining benchmarks
Anthropic
Leads 3 of 3 metrics
Anthropic: Claude Opus 4.6 (batch)

Auto-discovered from OpenRouter (anthropic/claude-opus-4.6:batch). Preview until a second source matches.

$12.5/1M out
OpenAI
GPT-4.5 Orion

OpenAI largest dense non-reasoning model with expansive world knowledge and reduced hallucinations.

Elo 1,540$150/1M out
Top Rival Showdowns for Anthropic: Claude Opus 4.6 (batch)
All Matchups
Compare vs:vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderAnthropic: Claude Opus 4.6 (batch) Wins

Anthropic: Claude Opus 4.6 (batch)

$12.5 / 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
0–100 %ile
Head-to-Head Comparison

Overall Matchup Breakdown

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

Anthropic: Claude Opus 4.6 (batch) (3)vsGPT-4.5 Orion (7)
Anthropic: Claude Opus 4.6 (batch): 3W (30%)Overall: GPT-4.5 OrionGPT-4.5 Orion: 7W (70%)
← Anthropic: Claude Opus 4.6 (batch)GPT-4.5 Orion →
🏆GPT-4.5 Orion(5/5)

Intelligence & Reasoning

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

Benchmark
Anthropic: Claude Opus 4.6 (batch)vsGPT-4.5 Orion
Preference Elo
—vs1,540
Coding Elo
—vs1,520
SWE-bench
—vs71%
LiveBench
—vs68.5%
GPQA Diamond
—vs84%
Anthropic: Claude Opus 4.6 (batch): 0WGPT-4.5 Orion: 5W
🏆GPT-4.5 Orion(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Anthropic: Claude Opus 4.6 (batch)vsGPT-4.5 Orion
Output speed
—vs60 tok/s
Time to first token
—vs350 ms
Anthropic: Claude Opus 4.6 (batch): 0WGPT-4.5 Orion: 2W
🏆Anthropic: Claude Opus 4.6 (batch)(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Anthropic: Claude Opus 4.6 (batch)vsGPT-4.5 Orion
Output price
$12.5/1Mvs$150/1M+$137.5/1M
Input price
$2.5/1Mvs$75/1M+$72.5/1M
Context window
1Mvs128k+872k
Anthropic: Claude Opus 4.6 (batch): 3WGPT-4.5 Orion: 0W

Side-by-Side Benchmark Matrix

Preference Elo
Anthropic: Claude Opus 4.6 (batch)—
GPT-4.5 Orion1,540
lmarena · Aug 17, 2026
Coding Elo
Anthropic: Claude Opus 4.6 (batch)—
GPT-4.5 Orion1,520
lmarena · Aug 17, 2026
LiveBench
Anthropic: Claude Opus 4.6 (batch)—
GPT-4.5 Orion68.5%
livebench · Aug 17, 2026
SWE-bench
Anthropic: Claude Opus 4.6 (batch)—
GPT-4.5 Orion71%
swebench · Aug 17, 2026
GPQA Diamond
Anthropic: Claude Opus 4.6 (batch)—
GPT-4.5 Orion84%
seed-bootstrap · Aug 1, 2026
Time to first token
Anthropic: Claude Opus 4.6 (batch)—
GPT-4.5 Orion350 ms
seed-bootstrap · Aug 1, 2026
Output speed
Anthropic: Claude Opus 4.6 (batch)—
GPT-4.5 Orion60 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$72.5/1M
Anthropic: Claude Opus 4.6 (batch)$2.5/1M
openrouter · Aug 17, 2026
GPT-4.5 Orion$75/1M
seed-bootstrap · Aug 1, 2026
Output price+$137.5/1M
Anthropic: Claude Opus 4.6 (batch)$12.5/1M
openrouter · Aug 17, 2026
GPT-4.5 Orion$150/1M
seed-bootstrap · Aug 1, 2026
Context window+872k
Anthropic: Claude Opus 4.6 (batch)1M
openrouter · Aug 17, 2026
GPT-4.5 Orion128k
seed-bootstrap · Aug 1, 2026
BenchmarkAnthropic: Claude Opus 4.6 (batch)GPT-4.5 OrionAdvantage Delta
Preference Elo—
1,540
lmarena · Aug 17, 2026
—
Coding Elo—
1,520
lmarena · Aug 17, 2026
—
LiveBench—
68.5%
livebench · Aug 17, 2026
—
SWE-bench—
71%
swebench · Aug 17, 2026
—
GPQA Diamond—
84%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
350 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
60 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$2.5/1M
openrouter · Aug 17, 2026
$75/1M
seed-bootstrap · Aug 1, 2026
+$72.5/1M
Output price
$12.5/1M
openrouter · Aug 17, 2026
$150/1M
seed-bootstrap · Aug 1, 2026
+$137.5/1M
Context window
1M
openrouter · Aug 17, 2026
128k
seed-bootstrap · Aug 1, 2026
+872k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 94% with Anthropic: Claude Opus 4.6 (batch)
Monthly Volume50M tokens/mo
Quick Presets:
Token Ratio (In vs Out)70% In / 30% Out
RAG / Search (10% out)Coding / Chat (50% out)
Anthropic: Claude Opus 4.6 (batch)$275.00 / mo
In: $87.5Out: $187.5
GPT-4.5 Orion$4,875.00 / mo
In: $2,625Out: $2,250
Estimated Cost Delta

Anthropic: Claude Opus 4.6 (batch) is estimated to save $4,600.00/month ($55,200/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Anthropic: Claude Opus 4.6 (batch):Pick Anthropic: Claude Opus 4.6 (batch) when you are optimizing output cost.
  • 2
    Anthropic: Claude Opus 4.6 (batch):Pick Anthropic: Claude Opus 4.6 (batch) for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatAnthropic: Claude Opus 4.6 (batch)

Lower output list price ($12.5/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGAnthropic: Claude Opus 4.6 (batch)

Larger window (1M).

Screenshots / visionGPT-4.5 Orion

GPT-4.5 Orion is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatAnthropic: Claude Opus 4.6 (batch)Lower output list price ($12.5/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGAnthropic: Claude Opus 4.6 (batch)Larger window (1M).
Screenshots / visionGPT-4.5 OrionGPT-4.5 Orion is the side marked multimodal in the catalog.
Community Sentiment

Cast Your Matchup Vote

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Anthropic

Anthropic: Claude Opus 4.6 (batch)

Elo n/a
SWE-bench—
Speed (tok/s)1M
Input / 1M Tokens$2.5/1M
Output / 1M Tokens$12.5/1M
OpenAI

GPT-4.5 Orion

Elo 1,540
SWE-bench71%
Speed (tok/s)60 tok/s
Input / 1M Tokens$75/1M
Output / 1M Tokens$150/1M

Frequently Asked Questions

Which is better overall, Anthropic: Claude Opus 4.6 (batch) or GPT-4.5 Orion?
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, Anthropic: Claude Opus 4.6 (batch) or GPT-4.5 Orion?
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?
Anthropic: Claude Opus 4.6 (batch) output tokens are $12.5/1M versus $150/1M. Input prices and retry rates still move the real bill.
Which is faster, Anthropic: Claude Opus 4.6 (batch) or GPT-4.5 Orion?
We do not have TTFT for both models.
Which has the larger context window?
Anthropic: Claude Opus 4.6 (batch) accepts 1M tokens versus 128k.
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. Anthropic: Claude Opus 4.6 (batch) and GPT-4.5 Orion Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Anthropic: Claude Opus 4.6 (batch) matchups →|All GPT-4.5 Orion matchups →
GPT-4.5 Orion vs OpenAI: o1 (previous gpt-flagship)GPT-4.5 Orion vs GPT-5 (next gpt-flagship)Claude Opus 4.5 vs GPT-4.5 OrionClaude Opus 4.6 vs GPT-4.5 OrionClaude Sonnet 4.5 vs GPT-4.5 OrionClaude Opus 5 vs GPT-4.5 Orion