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Every score has a dated snapshot.

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  3. Claude Opus 4.6 vs OpenAI: GPT-3.5 Turbo (batch)

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

Claude Opus 4.6 vs OpenAI: GPT-3.5 Turbo (batch) benchmark

In this head-to-head showdown, OpenAI: GPT-3.5 Turbo (batch) is more budget-friendly at $0.75/1M 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: Choose Claude Opus 4.6 if your priority is peak reasoning, complex code generation, and top preference Elo. Choose OpenAI: GPT-3.5 Turbo (batch) if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
Share Analysis:
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Anthropic
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
OpenAI: GPT-3.5 Turbo (batch)

Auto-discovered from OpenRouter (openai/gpt-3.5-turbo:batch). Preview until a second source matches.

$0.75/1M out

Claude 4 Series Family & Variants (5)

Speed, cost, and intelligence tradeoffs across the Anthropic lineup

vs Base Model
Claude Opus 4.5
Anthropic
Base Model
Reasoning
Elo1568
Speed62 t/s
In /1M$5
Out /1M$25
View specs →vs this
Claude Opus 4.6
Anthropic
Opus 4.6
Reasoning
Elo1574
Speed64 t/s
In /1M$5
Out /1M$25
+6 Elo0% price
Selected
Claude Sonnet 4.5
Anthropic
Sonnet 4.5
Elo1524
Speed88 t/s
In /1M$3
Out /1M$15
-44 Elo-40% price1.4x speed
View specs →vs this
Claude Opus 4.8
Anthropic
Opus 4.8
Reasoning
Elo1598
Speed66 t/s
In /1M$5
Out /1M$25
+30 Elo0% price1.1x speed
View specs →vs this
Claude Haiku 4.5
Anthropic
Haiku 4.5
Elo1438
Speed175 t/s
In /1M$1
Out /1M$5
-130 Elo-80% price2.8x speed
View specs →vs this

Claude Opus 4.6 Thinking Depth & Cost Scaler

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
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 Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar Leader

OpenAI: GPT-3.5 Turbo (batch)

$0.75 / 1M output

Capability Percentiles

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

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect
Percentile 0–100
Dimensional AdvantageClaude Opus 4.6 5/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

Claude Opus 4.6 (8)vsOpenAI: GPT-3.5 Turbo (batch) (2)
Claude Opus 4.6: 8W (80%)Overall: Claude Opus 4.6OpenAI: GPT-3.5 Turbo (batch): 2W (20%)
← Claude Opus 4.6OpenAI: GPT-3.5 Turbo (batch) →
Claude Opus 4.6 (5/5)

Intelligence & Reasoning

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

Preference Elo
1,574vs—
Coding Elo
1,570vs—
SWE-bench
75.9%vs—
LiveBench
72%vs—
GPQA Diamond
84.8%vs—
Claude Opus 4.6: 5WOpenAI: GPT-3.5 Turbo (batch): 0W
Claude Opus 4.6 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
64 tok/svs—
Time to first token
360 msvs—
Claude Opus 4.6: 2WOpenAI: GPT-3.5 Turbo (batch): 0W
OpenAI: GPT-3.5 Turbo (batch) (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$25/1Mvs$0.75/1M
Input price
$5/1Mvs$0.25/1M
Context window
1Mvs16k
Claude Opus 4.6: 1WOpenAI: GPT-3.5 Turbo (batch): 2W

Side-by-Side Benchmark Matrix

Preference Elo
Claude Opus 4.61,574
lmarena · Aug 17, 2026
OpenAI: GPT-3.5 Turbo (batch)—
Coding Elo
Claude Opus 4.61,570
lmarena · Aug 17, 2026
OpenAI: GPT-3.5 Turbo (batch)—
LiveBench
Claude Opus 4.672%
livebench · Aug 17, 2026
OpenAI: GPT-3.5 Turbo (batch)—
SWE-bench
Claude Opus 4.675.9%
swebench · Aug 17, 2026
OpenAI: GPT-3.5 Turbo (batch)—
GPQA Diamond
Claude Opus 4.684.8%
seed-bootstrap · Aug 1, 2026
OpenAI: GPT-3.5 Turbo (batch)—
Time to first token
Claude Opus 4.6360 ms
seed-bootstrap · Aug 1, 2026
OpenAI: GPT-3.5 Turbo (batch)—
Output speed
Claude Opus 4.664 tok/s
seed-bootstrap · Aug 1, 2026
OpenAI: GPT-3.5 Turbo (batch)—
Input priceOpenAI: GPT-3.5 Turbo (batch) (+$4.75/1M)
Claude Opus 4.6$5/1M
openrouter · Aug 17, 2026
OpenAI: GPT-3.5 Turbo (batch)$0.25/1M
openrouter · Aug 17, 2026
Output priceOpenAI: GPT-3.5 Turbo (batch) (+$24.25/1M)
Claude Opus 4.6$25/1M
openrouter · Aug 17, 2026
OpenAI: GPT-3.5 Turbo (batch)$0.75/1M
openrouter · Aug 17, 2026
Context windowClaude Opus 4.6 (+984k)
Claude Opus 4.61M
openrouter · Aug 17, 2026
OpenAI: GPT-3.5 Turbo (batch)16k
openrouter · Aug 17, 2026
BenchmarkClaude Opus 4.6OpenAI: GPT-3.5 Turbo (batch)Advantage Delta
Preference Elo
1,574
lmarena · Aug 17, 2026
——
Coding Elo
1,570
lmarena · Aug 17, 2026
——
LiveBench
72%
livebench · Aug 17, 2026
——
SWE-bench
75.9%
swebench · Aug 17, 2026
——
GPQA Diamond
84.8%
seed-bootstrap · Aug 1, 2026
——
Time to first token
360 ms
seed-bootstrap · Aug 1, 2026
——
Output speed
64 tok/s
seed-bootstrap · Aug 1, 2026
——
Input price
$5/1M
openrouter · Aug 17, 2026
$0.25/1M
openrouter · Aug 17, 2026
OpenAI: GPT-3.5 Turbo (batch) (+$4.75/1M)
Output price
$25/1M
openrouter · Aug 17, 2026
$0.75/1M
openrouter · Aug 17, 2026
OpenAI: GPT-3.5 Turbo (batch) (+$24.25/1M)
Context window
1M
openrouter · Aug 17, 2026
16k
openrouter · Aug 17, 2026
Claude Opus 4.6 (+984k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 96% with OpenAI: GPT-3.5 Turbo (batch)
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
OpenAI: GPT-3.5 Turbo (batch)$20.00 / mo
In: $8.75Out: $11.25
Estimated Cost Delta

OpenAI: GPT-3.5 Turbo (batch) is estimated to save $530.00/month ($6,360/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    OpenAI: GPT-3.5 Turbo (batch):Pick OpenAI: GPT-3.5 Turbo (batch) when you are optimizing output cost.
  • 2
    Claude Opus 4.6:Pick Claude Opus 4.6 for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatOpenAI: GPT-3.5 Turbo (batch)

Lower output list price ($0.75/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGClaude Opus 4.6

Larger window (1M).

Screenshots / visionClaude Opus 4.6

Claude Opus 4.6 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatOpenAI: GPT-3.5 Turbo (batch)Lower output list price ($0.75/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGClaude Opus 4.6Larger window (1M).
Screenshots / visionClaude Opus 4.6Claude Opus 4.6 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchMay 10, 2026

Claude Opus 4.6: the May follow-on that still shows up in old bookmarks

Slightly behind 4.5 on one official SWE-bench sweep; stronger long-horizon traces. We keep the row for old vs URLs.

Community Sentiment

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
Anthropic

Claude Opus 4.6

Elo 1,574
LiveBench72%
SWE-bench75.9%
Speed64 tok/s
Output cost$25/1M
OpenAI

OpenAI: GPT-3.5 Turbo (batch)

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$0.75/1M

Frequently Asked Questions

Which is better overall, Claude Opus 4.6 or OpenAI: GPT-3.5 Turbo (batch)?
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, Claude Opus 4.6 or OpenAI: GPT-3.5 Turbo (batch)?
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?
OpenAI: GPT-3.5 Turbo (batch) output tokens are $0.75/1M versus $25/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4.6 or OpenAI: GPT-3.5 Turbo (batch)?
We do not have TTFT for both models.
Which has the larger context window?
Claude Opus 4.6 accepts 1M tokens versus 16k.
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 OpenAI: GPT-3.5 Turbo (batch) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · May 10, 2026

    Claude Opus 4.6: the May follow-on that still shows up in old bookmarks

Similar Head-to-Head Comparisons

All Claude Opus 4.6 matchups →|All OpenAI: GPT-3.5 Turbo (batch) 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 vs Claude Opus 4.6Claude Sonnet 5 vs Claude Opus 4.6GPT-5.6 Terra vs Claude Opus 4.6GPT-4.5 Orion vs Claude Opus 4.6