Model profile
OpenAI

GPT-5.1 (high)

GPT-5.1 (high) is a budget-priced text-first model from OpenAI with heavy runtime profile, partial context coverage, and the clearest fit around agent workflows / reasoning.

Best for: Agent workflows / ReasoningHeavy latencyN/A contextBudget pricing
Intelligence
47.7

Benchmark blend

Coding
44.7

Dev workflow signal

Context
N/A

N/A

Input Price
$1.25

Budget tier

Decision snapshot
55

GPT-5.1 (high) currently reads as a budget text-first option with partially published context and a heavy runtime profile.

Overall profile
Selective fit
Best for
Agent workflows / Reasoning
Latency tier
Heavy
Price tier
Budget
Source coverage
OpenRouterArtificial Analysis

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
47.7
48

General reasoning and benchmark headroom.

Situational
Speed
146 tok/s
50

TTFT 26.61s

Situational
Context
N/A
N/A

How much prompt and task state can stay in view.

Unavailable
Price
$1.25
86

$10.00 output / 1M

Efficient

Editorial Profile

GPT-5.1 (high) in one narrative

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

Selective fitCoding score 45Math score 94

The GPT-5.1 (high) AI model by OpenAI.

Identity

OpenAI text-first profile

Positioning

Agent workflows / Reasoning with partially published context and heavy runtime.

Cost posture

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

Strengths
  • The available source data suggests a balanced profile rather than one dominant edge.

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

  • Latency profile is better for deliberate runs than rapid back-and-forth chat.

  • Current metadata points to a text-first profile rather than a broad multimodal one.

  • Context limits are only partially published, so long-session planning needs extra validation.

Best fit
  • Focused chat, retrieval-augmented flows, and narrower production tasks.

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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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Input Price
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OpenAI

OpenAI: GPT-5.4

Intelligence
56.8
Context
1050K Tokens
Input Price
$2.50

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
47.7
MMLU Pro
87.0%
GPQA
87.3%
HLE
26.5%
Coding

Software implementation, debugging quality, and coding benchmark signal.

Coding Index
44.7
LiveCodeBench
0.868
SciCode
43.3%
Math

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

Math Index
94.0
AIME 2025
94.0%
Agent / tool use

Long-horizon execution quality and interactive benchmark evidence.

IFBench
72.9%
TAU2
81.9%
TerminalBench Hard
45.5%
LCR
75.0%

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
N/A
Vision
Text-first
Price architecture
Input
per 1M input tokens
$1.25
Output
per 1M output tokens
$10.00
Blended
AA 3:1 mix
$3.44

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

Metadata

Raw source tables at the end

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