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Claude Instant

by Anthropic · Released Jan 2024

68.7
avg score
Rank #42
Compare
Better than 87% of all models
Context
N/A
Input $/1M
n/a
Output $/1M
n/a
Type
text
License
Proprietary
Benchmarks
5 tested
Data as of
About

Tested on 5 benchmarks · BenchGecko score 68.7. Top scores: GSM8K (86.7%), ARC AI2 (81.7%), TriviaQA (78.9%).

Capabilities
math
86.7
#15 globally
knowledge
75.1
#8 globally
general
9.6
#193 globally
Benchmark Scores
Compare All
Tested on 5 benchmarks · Ranked across 3 categories
Score Distribution (all 312 models)
0255075100
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GSM8K

Grade school math word problems. 8,500 problems testing multi-step arithmetic reasoning. A foundational math benchmark.

86.7·
ARC AI2

AI2 Reasoning Challenge. Grade-school science questions requiring multi-step reasoning. Easy and Challenge sets test different difficulty levels.

81.7·
TriviaQA

Trivia questions sourced from trivia enthusiasts and quiz websites. Tests breadth of general knowledge.

78.9·
MMLU

Massive Multitask Language Understanding. 57 subjects from STEM, humanities, and social sciences. The most widely-cited knowledge benchmark.

64.5·
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Links
Documentation
Community
BenchGecko API
claude-instant
Specifications
  • Typetext
  • ContextN/A
  • ReleasedJan 2024
  • LicenseProprietary
  • Statusbenchmark-only
Available On
Anthropic logoAnthropicn/a
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Claude Instant is a proprietary text AI model by Anthropic, released in January 2024. It has an average benchmark score of 68.7.

Key facts · as of 2026-04-09

  • Claude Instant by Anthropic. BenchGecko score 68.7, rank 42 of 312 scored models (normalized average of public benchmark scores).
  • List price n/a input · n/a output per 1M tokens (as of 2026-04-09).

How to cite · data as of 2026-04-09

Claude Instant · benchmarks, pricing and providers. BenchGecko, data as of 2026-04-09. https://benchgecko.ai/model/claude-instant

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP