Model profile
Anthropic

Anthropic: Claude 3.5 Haiku

Anthropic: Claude 3.5 Haiku is a budget-priced multimodal generalist from Anthropic with partial runtime data, large context posture, and the clearest fit around long-context research / multimodal.

Best for: Long-context research / MultimodalN/A latencyLarge contextBudget pricing
Intelligence
18.7

Benchmark blend

Coding
10.7

Dev workflow signal

Context
200K Tokens

Large

Input Price
$0.80

Budget tier

Decision snapshot
44

Anthropic: Claude 3.5 Haiku currently reads as a budget multimodal option with large context and a partially published runtime profile.

Overall profile
Use-case specific
Best for
Long-context research / Multimodal
Latency tier
N/A
Price tier
Budget
Source coverage
OpenRouterArtificial AnalysisVision signal

Decision Strip

Decision rail before the raw tables

Core buy-side signals stay in one pass. The rest of the page expands only after intelligence, speed, context, and price are clear.

Intelligence
18.7
19

General reasoning and benchmark headroom.

Limited
Speed
N/A
N/A

Latency data is partial.

Unavailable
Context
200K Tokens
88

How much prompt and task state can stay in view.

Above average
Price
$0.80
86

$4.00 output / 1M

Efficient

Editorial Profile

Anthropic: Claude 3.5 Haiku in one narrative

Positioning, tradeoffs, and fit are consolidated into one read instead of repeating the same story across separate cards.

Use-case specificCoding score 11Math score 72Vision enabled

Claude 3.5 Haiku features offers enhanced capabilities in speed, coding accuracy, and tool use. Engineered to excel in real-time applications, it delivers quick response times that are essential for dynamic...

Identity

Anthropic multimodal profile

Positioning

Long-context research / Multimodal with large context and partially published runtime.

Cost posture

Efficient spend profile. More comfortable for sustained prompt volume if the capability fit is right.

Strengths
  • Large context headroom supports repo-wide prompts and long research sessions.

  • Vision-capable routing opens up multimodal review and extraction workflows.

Tradeoffs
  • Budget-friendly input pricing is a strength, but raw capability may vary by workload.

  • Latency data is incomplete, so interactive responsiveness is harder to rank confidently.

Best fit
  • Image-grounded review, multimodal extraction, and UI audit workflows.

  • Long-context summarization, repo analysis, and policy or document review.

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Intelligence
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Context
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Input Price
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Intelligence
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Context
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Anthropic

Anthropic: Claude Opus 4.5

Intelligence
49.7
Context
200K Tokens
Input Price
$5.00

Benchmarks

Grouped by job-to-be-done

Only benchmark categories with actual signal are shown. Secondary values stay as simple definitions instead of nested micro-cards.

General intelligence

Broad reasoning, knowledge depth, and flagship benchmark posture.

Intelligence Index
18.7
MMLU Pro
63.4%
GPQA
40.8%
HLE
3.5%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
10.7
LiveCodeBench
0.314
SciCode
27.4%
Math

Formal reasoning, structured problem solving, and competition-style math.

AIME
3.3%
Math 500
72.1%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

IFBench
42.8%
TAU2
24.6%
TerminalBench Hard
2.3%
LCR
23.3%

Specs & Pricing

Technical snapshot and cost posture

Specs stay neutral, pricing gets emphasis through values rather than extra containers. Raw provider internals remain in metadata at the end.

Technical snapshot
Context Window
200K Tokens
Vision
Enabled
Modalities
image, text
Tokenizer
Claude
Max Completion
8192
Moderation
Yes
Supported Parameters
max_tokensstoptemperaturetool_choicetoolstop_ktop_p
Input Modalities
imagetext
Output Modalities
text
Price architecture
Input
per 1M input tokens
$0.80
Output
per 1M output tokens
$4.00
Blended
AA 3:1 mix
$1.60

This model is relatively efficient on price. It is the easier fit when sustained prompt volume matters.

OR Web Search Price
$0.0100
OR Cache Read
$0.00
OR Cache Write
$0.00

Metadata

Raw source tables at the end

Verification details remain available, but the page no longer forces them ahead of the editorial read.