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Claude Opus 4.7 (batch) vs Claude Opus 4.8

vs
Claude Opus 4.8

Anthropic

95#7
Signal-by-Signal Comparison
SignalClaude Opus 4.7 (batch)DeltaClaude Opus 4.8
Capabilities
100
--
100
Benchmarks
82
-10
93
Pricing
88
+13
75
Context window size
95
--
95
Recency
100
--
100
Output Capacity
82
--
82
Overall Result
1 wins
of 6
1 wins
It's a tie - both models win 1 signals each

Score History

Score History (21 data points)
Claude Opus 4.7 (batch)Claude Opus 4.8
Claude Opus 4.7 (batch)

83.5

current score

Leader

Claude Opus 4.8

right now

Claude Opus 4.8

95.1

current score

LMMarketCap.com
Interactive Price Comparison
100Kcalls/month
1,000tokens (~1,333 chars)
500tokens (~667 chars)

Claude Opus 4.7 (batch)

Anthropic

Best Value
Per request$0.008750
Daily$29.17
Monthly$875.00
Annual$10500.00

Claude Opus 4.8

Anthropic

Per request$0.017500
Daily$58.33
Monthly$1750.00
Annual$21000.00

Claude Opus 4.7 (batch) saves you $875.00/month

That's $10500.00/year compared to Claude Opus 4.8 at your current usage level of 100K calls/month.

50% cheaper
Choose Claude Opus 4.7 (batch) for cost optimization

Claude Opus 4.7 (batch) pricing:
Input:$2.50/M tokens
Output:$12.50/M tokens
Claude Opus 4.8 pricing:
Input:$5.00/M tokens
Output:$25.00/M tokens
Claude Opus 4.7 (batch)

Anthropic

84

Composite Score

Winner
Claude Opus 4.8

Anthropic

95

Composite Score

Signal-by-Signal Comparison
MetricClaude Opus 4.7 (batch)Claude Opus 4.8Winner
Overall Score
84
95
Claude Opus 4.8
Rank#67#7
Claude Opus 4.8
Quality Rank#67#7
Claude Opus 4.8
Adoption Rank#67#7
Claude Opus 4.8
Parameters------
Context Window1000K1000K--
Pricing$2.50/$12.50/M$5.00/$25.00/M--
Signal Scores
Capabilities
100
100
Claude Opus 4.7 (batch)
Benchmarks
82
93
Claude Opus 4.8
Pricing
88
75
Claude Opus 4.7 (batch)
Context window size
95
95
Claude Opus 4.7 (batch)
Recency
100
100
Claude Opus 4.7 (batch)
Output Capacity
82
82
Claude Opus 4.7 (batch)
Benchmark Head-to-Head(12 benchmarks)
Claude Opus: 0Claude Opus: 4
Claude Opus
Claude Opus
Normalized 0-100%
MMLU
91%-
MMLU-Pro
80%-
GPQA Diamond
82.6%93.6%
MATH-500
86%-
HumanEval
95%-
SWE-bench Verified
72.5%88.6%
AIME 2024
68%-
IFEval
90.5%-
BBH
89%-
Arena Elo
14201479
LiveBench
72%-
HLE
28.5%49.8%
Benchmark Interpretation

Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.

Claude Opus 4.7 (batch)Strong Performer

Scores 84/100 (rank #67), placing it in the top 77% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100
Claude Opus 4.8Elite Tier

Scores 95/100 (rank #7), placing it in the top 98% of all 290 models tracked.

Raw Quality0/100
Cost Efficiency0/100
Speed0/100

Claude Opus 4.8 has a 12-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.

When to Use Each Model

Choose Claude Opus 4.7 (batch) when you need:

  • High-volume production workloads where API costs must be minimized
  • Step-by-step reasoning and chain-of-thought problem solving

Choose Claude Opus 4.8 when you need:

  • Step-by-step reasoning and chain-of-thought problem solving
Cost-Performance Analysis
Claude Opus 4.7 (batch)Best Value
Input cost$2.50/M tokens
Output cost$12.50/M tokens
Cost per quality point$0.180
Est. monthly (1M tokens/day)$225.00
Claude Opus 4.8
Input cost$5.00/M tokens
Output cost$25.00/M tokens
Cost per quality point$0.315
Est. monthly (1M tokens/day)$450.00

Claude Opus 4.7 (batch) offers 50% better value per quality point. At 1M tokens/day, you'd spend $225.00/month with Claude Opus 4.7 (batch) vs $450.00/month with Claude Opus 4.8 - a $225.00 monthly difference.

Latency & Speed
Claude Opus 4.7 (batch)Faster
Speed score0/100
Claude Opus 4.8
Speed score0/100

Both models have comparable response speeds. For most applications, the latency difference is negligible.

When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.

Example Use Cases

Code generation & review

Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring

Claude Opus 4.7 (batch)

Customer support chatbot

Suitable for user-facing chat with competitive response times. Claude Opus 4.7 (batch) also offers lower per-token costs for high-volume support

Claude Opus 4.7 (batch)

Long document analysis

Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass

Claude Opus 4.7 (batch)

Batch data extraction

Lower output pricing ($12.50/M) reduces costs when processing thousands of records daily

Claude Opus 4.7 (batch)

Creative writing & content

Higher overall composite score (95/100) correlates with better nuance, coherence, and style in long-form content

Claude Opus 4.8

Image understanding & OCR

Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly

Claude Opus 4.7 (batch)
Which Should You Choose?
Our recommendation:
Claude Opus 4.8

Claude Opus 4.8 clearly outperforms Claude Opus 4.7 (batch) with a significant 11.599999999999994-point lead. For most general use cases, Claude Opus 4.8 is the stronger choice. However, Claude Opus 4.7 (batch) may still excel in niche scenarios.

by Anthropic

  • Choose for Quality - Marginally better benchmark scores; both are excellent
  • Choose for Cost - 50% lower pricing; better value at scale
  • Choose for Reliability - Higher uptime and faster response speeds
  • Choose for Prototyping - Stronger community support and better developer experience
  • Choose for Production - Wider enterprise adoption and proven at scale
Claude Opus 4.8
Recommended

by Anthropic

Consider for specialized use cases.

Capability Comparison
CapabilityClaude Opus 4.7 (batch)Claude Opus 4.8
Vision (Image Input)
Function Calling
Streaming
JSON Mode
Reasoning
Web Search
Image Output
Monthly Cost Calculator
1,000tokens (600 in / 400 out)
100requests/day (3,000/month)

Claude Opus 4.7 (batch)

Anthropic

Best Value
$19.50
estimated monthly cost

Claude Opus 4.8

Anthropic

$39.00
estimated monthly cost

Claude Opus 4.7 (batch) saves you $19.50/month

That's 50% cheaper than Claude Opus 4.8 at 1,000 tokens/request and 100 requests/day.

Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.

Parameters & Context
ParameterClaude Opus 4.7 (batch)Claude Opus 4.8
Context Window1M1M
Max Output Tokens128,000128,000
Open SourceNoNo
CreatedApr 16, 2026May 27, 2026
Last updated: 19m ago

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