Model comparison
Claude Fable 5 vs GPT-5.3 Codex
Head-to-head evidence from 16 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Fable 5 #2 (Supported); GPT-5.3 Codex #26 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Fable 5 and GPT-5.3 Codex share 16 comparable benchmark results. 2 of 8 categories are comparable. 18 results are unique to Claude Fable 5; 5 to GPT-5.3 Codex.
Updated July 23, 2026- Shared results
- 16
- Claude Fable 5 only
- 18
- GPT-5.3 Codex only
- 5
- Comparable categories
- 2 / 8
Pick Claude Fable 5 if you want the stronger benchmark profile. GPT-5.3 Codex only becomes the better choice if you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 16 shared benchmark results across 6 evidence categories; 2 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Claude Fable 5 is clearly ahead on the BenchAlign aggregate, 83.68 to 66.69. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Fable 5's sharpest advantage is in coding, where it averages 89.2 against 67.2. The single biggest benchmark swing on the page is SWE-bench Pro, 80% to 56.8%.
Claude Fable 5 is also the more expensive model on tokens at $10.00 input / $50.00 output per 1M tokens, versus $1.75 input / $14.00 output per 1M tokens for GPT-5.3 Codex. That is roughly 3.6x on output cost alone. Claude Fable 5 gives you the larger context window at 1M+, compared with 400K for GPT-5.3 Codex.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Claude Fable 5 | Δ | GPT-5.3 Codex |
|---|---|---|---|
| Coding | Claude Fable 589.2 | Margin← 22.0 | GPT-5.3 Codex67.2 |
| Agentic | Claude Fable 584.6 | Margin← 13.2 | GPT-5.3 Codex71.4 |
| Multimodal | Claude Fable 557.9 | MarginNo overlap | GPT-5.3 CodexNot measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Pro
CodingA 80%B 56.8%Winner: Claude Fable 5Δ 23.2SWE-bench Pro: Claude Fable 5 scored 80%; GPT-5.3 Codex scored 56.8%. Claude Fable 5 wins this benchmark. - Source ↗
OSWorld-Verified
AgenticA 85%B 64.7%Winner: Claude Fable 5Δ 20.3OSWorld-Verified: Claude Fable 5 scored 85%; GPT-5.3 Codex scored 64.7%. Claude Fable 5 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 95%B 85%Winner: Claude Fable 5Δ 10SWE-bench Verified: Claude Fable 5 scored 95%; GPT-5.3 Codex scored 85%. Claude Fable 5 wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 84.3%B 77.3%Winner: Claude Fable 5Δ 7Terminal-Bench 2.0: Claude Fable 5 scored 84.3%; GPT-5.3 Codex scored 77.3%. Claude Fable 5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Fable 5 | GPT-5.3 Codex | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Fable 5$10 input / $50 output | GPT-5.3 Codex$1.75 input / $14 output | GPT-5.3 Codex has the lower combined listed price. |
| Generation speedtokens per second | Claude Fable 5Not available | GPT-5.3 Codex79 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Fable 5Not available | GPT-5.3 Codex88.26 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Fable 51M+ | GPT-5.3 Codex400K | Claude Fable 5 lists the larger context window. |
Benchmark Deep Dive
AgenticClaude Fable 5 wins15 benchmarks
| Benchmark | Claude Fable 5 | GPT-5.3 Codex | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 84.3% | 77.3% | Claude Fable 5 leads |
| OSWorld-VerifiedSource | 85% | 64.7% | Claude Fable 5 leads |
| GDPval-AASource | 1748 | — | Not comparable |
| AA Agentic IndexSource | 52.8% | — | Not comparable |
| τ²-bench resultsSource | 98.5% | 86% | Claude Fable 5 leads |
| GDPval-AASource | 62.4% | — | Not comparable |
| AA BriefcaseSource | 1574 | — | Not comparable |
| AA AutomationBenchSource | 48.6% | — | Not comparable |
| AA EnterpriseOps-GymSource | 51.1% | — | Not comparable |
| AA Harvey LABSource | 93.6% | — | Not comparable |
| AA Tau3 BankingSource | 26.8% | — | Not comparable |
| terminalBenchHardSource | 62.9% | — | Not comparable |
| aaTerminalBench21Source | 84.6% | — | Not comparable |
| Gert LabsSource | — | 57.47% | Not comparable |
| JobBenchSource | — | 33.7% | Not comparable |
CodingClaude Fable 5 wins11 benchmarks
| Benchmark | Claude Fable 5 | GPT-5.3 Codex | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 95% | 85% | Claude Fable 5 leads |
| SWE-bench ProSource | 80% | 56.8% | Claude Fable 5 leads |
| FrontierCode 1.1 MainSource | 53.5% | — | Not comparable |
| Terminal-Bench 2.0Source | 84.3% | — | Not comparable |
| cursorBench31Source | 70.6% | — | Not comparable |
| cursorBench32Source | 70.5% | — | Not comparable |
| VulcanBench v3Source | 87.0% | — | Not comparable |
| AA Coding IndexSource | 76.5% | — | Not comparable |
| AA-SciCodeSource | 60.2% | 53.2% | Claude Fable 5 leads |
| SWE-RebenchSource | — | 58.2% | Not comparable |
| Vibe Code BenchSource | — | 61.77% | Not comparable |
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Claude Fable 5 | GPT-5.3 Codex | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 59.9% | 44.3% | Claude Fable 5 leads |
| AA-GPQA DiamondSource | 92.6% | 91.5% | Claude Fable 5 leads |
| AA-HLESource | 53.3% | 39.9% | Claude Fable 5 leads |
| AA-Omniscience IndexSource | 40.2% | 9.9% | Claude Fable 5 leads |
| AA-Omniscience AccuracySource | 61.4% | 51.8% | Claude Fable 5 leads |
| AA-Omniscience Hallucination RateSource | 54.9% | 86.9% | Claude Fable 5 leads |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Fable 5 | GPT-5.3 Codex | Result |
|---|---|---|---|
| AA-IFBenchSource | 63.5% | 75.4% | GPT-5.3 Codex leads |
Frequently Asked Questions (3)
Which is better, Claude Fable 5 or GPT-5.3 Codex?
Claude Fable 5 is ahead on BenchLM's BenchAlign leaderboard, 83.68 to 66.69. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 80% and 56.8%.
Which is better for coding, Claude Fable 5 or GPT-5.3 Codex?
Claude Fable 5 has the edge for coding in this comparison, averaging 89.2 versus 67.2. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, Claude Fable 5 or GPT-5.3 Codex?
Claude Fable 5 has the edge for agentic tasks in this comparison, averaging 84.6 versus 71.4. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
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