Claude Opus 4.5
Unavailable in this round
Head-to-head comparison
Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.
Specifications
Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.
| Attribute | Claude Opus 4.5 | GPT-5.4 mini |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Released | Nov 2025 | Mar 17, 2026 |
| Availability | Active | Active |
| Model type | Proprietary | Proprietary |
| Parameters | Not published | Not published |
| Architecture | Not published | Not published |
| Context window | 200,000 tokens | 400,000 tokens |
| Knowledge cutoff | May 2025 | August 31, 2025 |
| Technical sources | Model, Context | Model |
Pricing
The table compares official standard API rates per 1M tokens, including published cache pricing. Batch, fast, priority, regional surcharges, tool calls, and cloud platform pricing are excluded.
| Price type | Claude Opus 4.5 | GPT-5.4 mini |
|---|---|---|
| API input | $5 | $0.75 |
| API output | $25 | $4.5 |
| Cache read | $0.5 | $0.075 |
| Cache write (5 min.) | $6.25 | Not listed |
| Cache write (1 hr.) | $10 | Not listed |
| Price verified | 09/22/2026 Source | 09/22/2026 Source |
Key to the marks:better valuebetter, but not conclusivetie
Direct developer pricing and provider endpoint tariffs routed through OpenRouter are listed separately. Prices are in USD per 1M tokens. Context-dependent direct tiers plus regional, Flex, Priority, and other OpenRouter tariffs remain individually identifiable.
| Model | Provider | Purchase route and tariff | Input per 1M tokens | Output per 1M tokens | Source |
|---|---|---|---|---|---|
| Claude Opus 4.5 | Anthropic | Direct from developerStandard API | Lowest listed price: $5 | Lowest listed price: $25 | Source09/22/2026 |
| Amazon Bedrock | Via OpenRouteramazon-bedrock | Lowest listed price: $5 | Lowest listed price: $25 | Source10/26/2026 | |
| Amazon Bedrock | Via OpenRouteramazon-bedrock/eu-west-1 | $5.5 | $27.5 | Source10/26/2026 | |
| Anthropic | Via OpenRouteranthropic | Lowest listed price: $5 | Lowest listed price: $25 | Source10/26/2026 | |
| Azure | Via OpenRouterazure/global | Lowest listed price: $5 | Lowest listed price: $25 | Source10/26/2026 | |
| Claude Platform on AWS | Via OpenRouterclaude-on-aws | Lowest listed price: $5 | Lowest listed price: $25 | Source10/26/2026 | |
| Via OpenRoutergoogle-vertex/global | Lowest listed price: $5 | Lowest listed price: $25 | Source10/26/2026 | ||
| GPT-5.4 mini | OpenAI | Direct from developerStandard API | $0.75 | $4.5 | Source09/22/2026 |
| Azure | Via OpenRouterazure | $0.75 | $4.5 | Source10/26/2026 | |
| Azure | Via OpenRouterazure/us | $0.825 | $4.95 | Source10/26/2026 | |
| OpenAI | Via OpenRouteropenai | $0.75 | $4.5 | Source10/26/2026 | |
| OpenAI | Via OpenRouteropenai/fast | $1.5 | $9 | Source10/26/2026 | |
| OpenAI | Via OpenRouteropenai/flex | Lowest listed price: $0.375 | Lowest listed price: $2.25 | Source10/26/2026 |
Benchmark index
The index combines independent benchmarks on a scale from 0 to 100. A lead only counts when a model comes first in at least 95% of 200 recalculations with randomly redrawn test families. Otherwise both count as level.
Claude Opus 4.5 leads in 4 of 8 shared areas. 4 areas are tied.
| Area | Claude Opus 4.5 | GPT-5.4 mini |
|---|---|---|
| Codingtied | 8.1 | 5.9 |
| Reasoningtied | 7.0 | 8.3 |
| Knowledge | 10.8 | 2.1 |
| Agentstied | 12.3 | 4.5 |
| Finance | 19.8 | 3.6 |
| Legal | 15.3 | 1.2 |
| Multimodal | 10.4 | 3.4 |
| Educationtied | 17.1 | 11.4 |
Performance
Only published results with the same benchmark version, task, metric, and comparison cohort are paired. Different reasoning levels, agents, harnesses, or output limits appear directly in the table.
Each axis averages directly matched benchmark families. A value of 100 means the stronger value within this pair, not a universal quality score.
Not enough directly matched categories for a reliable radar
Only 3 of at least 5 categories have comparable, direct model measurements. The benchmark tables below show the available evidence without filling missing axes.
Key to the marks:better valuebetter, but not conclusivetie
| Benchmark and task | Claude Opus 4.5 | GPT-5.4 mini | Source |
|---|---|---|---|
AA-Omniscience AccuracyOverallTest detailsNo documented difference in the test setupVersion: AA Omniscience diagnosticMetric: AA-Omniscience AccuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: Claude Opus 4.5 (Non-reasoning), Reasoning: Non-reasoning, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard GPT-5.4 mini: Snapshot: GPT-5.4 mini (Non-reasoning), Reasoning: Non-reasoning, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboardClaude Opus 4.5: Exact AA configuration: Claude Opus 4.5 (Non-reasoning) (release claude-opus-4-5, row claude-opus-4-5, UUID 4077490a-bbfb-404e-979a-a97a20e3b5de, reasoning=false, source reasoning-token configuration budget=0, suffix=Non-reasoning). This configured value is not measured token consumption. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions.GPT-5.4 mini: Exact AA configuration: GPT-5.4 mini (Non-reasoning) (release gpt-5-4-mini, row gpt-5-4-mini-non-reasoning, UUID ae447455-940d-4d30-9139-a664fa896eaf, reasoning=false, source reasoning-token configuration budget=0, suffix=Non-reasoning). This configured value is not measured token consumption. Proportion of all questions answered correctly, regardless of whether the model answers or abstains on other questions. | Winner40.9% This is the separately published accuracy diagnostic, not the AA-Omniscience Index. AA identifies higher values as better. | 25.7% This is the separately published accuracy diagnostic, not the AA-Omniscience Index. AA identifies higher values as better. | Artificial AnalysisSource detailsData as of: 10/19/2026 |
AA-Omniscience Hallucination RateOverallTest detailsNo documented difference in the test setupVersion: AA Omniscience diagnosticMetric: AA-Omniscience Hallucination RateScoring: Lower is betterClaude Opus 4.5: Snapshot: Claude Opus 4.5 (Non-reasoning), Reasoning: Non-reasoning, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboard GPT-5.4 mini: Snapshot: GPT-5.4 mini (Non-reasoning), Reasoning: Non-reasoning, Attempts: AA-reported aggregate; diagnostic-specific run count is not stated on the leaderboardClaude Opus 4.5: Exact AA configuration: Claude Opus 4.5 (Non-reasoning) (release claude-opus-4-5, row claude-opus-4-5, UUID 4077490a-bbfb-404e-979a-a97a20e3b5de, reasoning=false, source reasoning-token configuration budget=0, suffix=Non-reasoning). This configured value is not measured token consumption. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted).GPT-5.4 mini: Exact AA configuration: GPT-5.4 mini (Non-reasoning) (release gpt-5-4-mini, row gpt-5-4-mini-non-reasoning, UUID ae447455-940d-4d30-9139-a664fa896eaf, reasoning=false, source reasoning-token configuration budget=0, suffix=Non-reasoning). This configured value is not measured token consumption. Proportion of incorrect answers among all non-correct responses: incorrect / (incorrect + partial answers + not attempted). | Winner76.2% This is the separately published hallucination-rate diagnostic, not the AA-Omniscience Index. AA identifies lower values as better. | 95.6% This is the separately published hallucination-rate diagnostic, not the AA-Omniscience Index. AA identifies lower values as better. | Artificial AnalysisSource detailsData as of: 10/19/2026 |
CorpFin v2OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | Higher measured value61.305 % | 60.917 % | Vals AISource detailsData as of: 08/12/2026 |
GPQA DiamondOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | 79.546 % | Higher measured value83.08 % | Vals AISource detailsData as of: 09/01/2026 |
IFBenchOverallTest detailsNo documented difference in the test setupVersion: AA test set: 294 questionsMetric: IFBench prompt-level loose accuracy (pass@1)Scoring: Higher is betterClaude Opus 4.5: Snapshot: Claude Opus 4.5 (Non-reasoning), Reasoning: Non-reasoning, Attempts: pass@1, 5 repeats per question GPT-5.4 mini: Snapshot: GPT-5.4 mini (Non-reasoning), Reasoning: Non-reasoning, Attempts: pass@1, 5 repeats per questionClaude Opus 4.5: Exact AA configuration: Claude Opus 4.5 (Non-reasoning) (release claude-opus-4-5, row claude-opus-4-5, UUID 4077490a-bbfb-404e-979a-a97a20e3b5de, reasoning=false, source reasoning-token configuration budget=0, suffix=Non-reasoning). This configured value is not measured token consumption. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1.GPT-5.4 mini: Exact AA configuration: GPT-5.4 mini (Non-reasoning) (release gpt-5-4-mini, row gpt-5-4-mini-non-reasoning, UUID ae447455-940d-4d30-9139-a664fa896eaf, reasoning=false, source reasoning-token configuration budget=0, suffix=Non-reasoning). This configured value is not measured token consumption. Artificial Analysis runs 294 questions from the IFBench test set with five repeats per question. The official evaluator scores prompt-level accuracy in loose mode as pass@1. | Winner43.0% The often cited 58 refers to verifiable out-of-domain constraint types, not the number of questions in AA's test run. | 38.8% The often cited 58 refers to verifiable out-of-domain constraint types, not the number of questions in AA's test run. | Artificial AnalysisSource detailsData as of: 10/19/2026 |
LiveCodeBench v6OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | 75.034 % | Higher measured value81.465 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | Higher measured value85.59 % | 84.554 % | Vals AISource detailsData as of: 09/01/2026 |
MMMU-ProOverallTest detailsNo documented difference in the test setupVersion: AA cohort: 1,730 questionsMetric: pass@1 accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: Claude Opus 4.5 (Non-reasoning), Reasoning: Non-reasoning, Attempts: pass@1, one run per question GPT-5.4 mini: Snapshot: GPT-5.4 mini (Non-reasoning), Reasoning: Non-reasoning, Attempts: pass@1, one run per questionClaude Opus 4.5: Exact AA configuration: Claude Opus 4.5 (Non-reasoning) (release claude-opus-4-5, row claude-opus-4-5, UUID 4077490a-bbfb-404e-979a-a97a20e3b5de, reasoning=false, source reasoning-token configuration budget=0, suffix=Non-reasoning). This configured value is not measured token consumption. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1.GPT-5.4 mini: Exact AA configuration: GPT-5.4 mini (Non-reasoning) (release gpt-5-4-mini, row gpt-5-4-mini-non-reasoning, UUID ae447455-940d-4d30-9139-a664fa896eaf, reasoning=false, source reasoning-token configuration budget=0, suffix=Non-reasoning). This configured value is not measured token consumption. The AA run covers 1,730 questions with ten answer options. Answers are extracted by regex and scored pass@1. | Winner71.2% The benchmark page describes 3,460 questions in the full MMMU-Pro dataset; AA's methodology specifies a 1,730-question run. | 60.5% The benchmark page describes 3,460 questions in the full MMMU-Pro dataset; AA's methodology specifies a 1,730-question run. | Artificial AnalysisSource detailsData as of: 10/19/2026 |
MMMU-ProOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | Higher measured value81.098 % | 79.249 % | Vals AISource detailsData as of: 09/01/2026 |
MortgageTaxOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | Higher measured value68.68 % | 63.514 % | Vals AISource detailsData as of: 09/01/2026 |
SAGEOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 30,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 30,000 tokens | 45.002 % | Higher measured value50.813 % | Vals AISource detailsData as of: 10/08/2026 |
TaxEval v2OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | Higher measured value74.325 % | 71.218 % | Vals AISource detailsData as of: 09/01/2026 |
Terminal-Bench 2.0OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.0Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: high, Output limit: 128,000 tokens | Higher measured value58.427 % | 44.944 % | Vals AISource detailsData as of: 06/04/2026 |
CorpFin v2Exact PagesTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | 60.839 % | Higher measured value61.538 % | Vals AISource detailsData as of: 08/12/2026 |
GPQA DiamondFew-Shot CoTTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | 79.293 % | Higher measured value84.848 % | Vals AISource detailsData as of: 09/01/2026 |
LiveCodeBench v6EasyTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | Higher measured value99.068 % | 97.826 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProBiologyTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | Higher measured value94.003 % | 91.353 % | Vals AISource detailsData as of: 09/01/2026 |
MortgageTaxNumerical ExtractionTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | 77.424 % | Higher measured value79.412 % | Vals AISource detailsData as of: 09/01/2026 |
SAGEAutomataTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 30,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 30,000 tokens | 29.365 % | Higher measured value41.27 % | Vals AISource detailsData as of: 10/08/2026 |
TaxEval v2CorrectnessTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | Higher measured value63.123 % | 63.042 % | Vals AISource detailsData as of: 09/01/2026 |
Terminal-Bench 2.0EasyTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.0Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: high, Output limit: 128,000 tokens | Higher measured value100 % | 75 % | Vals AISource detailsData as of: 06/04/2026 |
CorpFin v2Max Fitting ContextTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | 60.723 % | Higher measured value60.956 % | Vals AISource detailsData as of: 08/12/2026 |
GPQA DiamondZero-Shot CoTTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | 79.798 % | Higher measured value81.313 % | Vals AISource detailsData as of: 09/01/2026 |
LiveCodeBench v6HardTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | 44.571 % | Higher measured value61.714 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProBusinessTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | 80.862 % | Higher measured value89.734 % | Vals AISource detailsData as of: 09/01/2026 |
MortgageTaxSemantic ExtractionTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | Higher measured value59.936 % | 47.615 % | Vals AISource detailsData as of: 09/01/2026 |
SAGECalculusTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Temperature: 1, Output limit: 30,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 30,000 tokens | 58.333 % | Higher measured value59.259 % | Vals AISource detailsData as of: 10/08/2026 |
TaxEval v2Stepwise ReasoningTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | Higher measured value85.527 % | 79.395 % | Vals AISource detailsData as of: 09/01/2026 |
Terminal-Bench 2.0HardTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.0Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: high, Output limit: 128,000 tokens | Higher measured value33.333 % | 24.444 % | Vals AISource detailsData as of: 06/04/2026 |
CorpFin v2Shared Max ContextTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | Higher measured value62.354 % | 60.256 % | Vals AISource detailsData as of: 08/12/2026 |
LiveCodeBench v6MediumTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | 81.462 % | Higher measured value84.856 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProChemistryTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | Higher measured value89.488 % | 89.134 % | Vals AISource detailsData as of: 09/01/2026 |
SAGELinear AlgebraTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 30,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 30,000 tokens | 64.372 % | Higher measured value71.486 % | Vals AISource detailsData as of: 10/08/2026 |
Terminal-Bench 2.0MediumTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.0Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: high, Output limit: 128,000 tokens | Higher measured value69.091 % | 53.939 % | Vals AISource detailsData as of: 06/04/2026 |
MMLU-ProComputer ScienceTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | 84.146 % | Higher measured value87.073 % | Vals AISource detailsData as of: 09/01/2026 |
SAGEPartial Differential EquationsTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 30,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 30,000 tokens | Higher measured value41.27 % | 39.683 % | Vals AISource detailsData as of: 10/08/2026 |
MMLU-ProEconomicsTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | Higher measured value89.573 % | 88.744 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProEngineeringTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | 76.161 % | Higher measured value82.043 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProHealthTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | Higher measured value83.985 % | 80.073 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProHistoryTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | Higher measured value78.478 % | 75.328 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProLawTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | Higher measured value78.292 % | 70.118 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProMathTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | 92.302 % | Higher measured value94.449 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProOthersTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | Higher measured value84.632 % | 80.411 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProPhilosophyTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | Higher measured value87.776 % | 80.561 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProPhysicsTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | 89.838 % | Higher measured value90.531 % | Vals AISource detailsData as of: 09/01/2026 |
MMLU-ProPsychologyTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterClaude Opus 4.5: Snapshot: claude-opus-4-5-20251101, Compute: high, Temperature: 1, Output limit: 64,000 tokens GPT-5.4 mini: Snapshot: gpt-5.4-mini-2026-03-17, Reasoning: xhigh, Output limit: 128,000 tokens | Higher measured value88.722 % | 84.211 % | Vals AISource detailsData as of: 09/01/2026 |
Key to the marks:better valuebetter, but not conclusivetie | |||
Our model tests
One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.
Shared test round: 43b8c5c46830
Unavailable in this round
Unavailable in this round
A community classic for free-form SVG drawing.
Claude Opus 4.5

Reasoning (requested): high
Visually reviewed. This individual test does not establish overall model quality.
GPT-5.4 mini

Reasoning (requested): high
Visually reviewed. This individual test does not establish overall model quality.
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)How to read this comparison
Your workload, budget, and required context length matter most. A coding benchmark says little about visual understanding or agent performance.
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Every result links to its measurement source and retrieval date. Labels distinguish vendor reports, official benchmark leaderboards, and independent evaluations. Disputed or archived results are excluded.
More matchups
Compare Claude Opus 4.5 and GPT-5.4 mini with other leading models using the same data and benchmark logic.