Model comparison
Claude Mythos 5 vs GPT-5.3 Codex
Head-to-head evidence from 4 shared benchmark results across 2 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Mythos 5 #1 (Supported); GPT-5.3 Codex #26 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Mythos 5 and GPT-5.3 Codex share 4 comparable benchmark results. 2 of 8 categories are comparable. 11 results are unique to Claude Mythos 5; 17 to GPT-5.3 Codex.
Updated July 23, 2026- Shared results
- 4
- Claude Mythos 5 only
- 11
- GPT-5.3 Codex only
- 17
- Comparable categories
- 2 / 8
Pick Claude Mythos 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 4 shared benchmark results across 2 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 Mythos 5 is clearly ahead on the BenchAlign aggregate, 83.93 to 66.69. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Mythos 5's sharpest advantage is in coding, where it averages 89.7 against 67.2. The single biggest benchmark swing on the page is SWE-bench Pro, 80.3% to 56.8%.
Claude Mythos 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 Mythos 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 Mythos 5 | Δ | GPT-5.3 Codex |
|---|---|---|---|
| Coding | Claude Mythos 589.7 | Margin← 22.5 | GPT-5.3 Codex67.2 |
| Agentic | Claude Mythos 587.0 | Margin← 15.6 | GPT-5.3 Codex71.4 |
| Knowledge | Claude Mythos 568.5 | MarginNo overlap | GPT-5.3 CodexNot measured |
| Math | Claude Mythos 597.6 | MarginNo overlap | GPT-5.3 CodexNot measured |
| Multimodal | Claude Mythos 593.5 | 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 80.3%B 56.8%Winner: Claude Mythos 5Δ 23.5SWE-bench Pro: Claude Mythos 5 scored 80.3%; GPT-5.3 Codex scored 56.8%. Claude Mythos 5 wins this benchmark. - Source ↗
OSWorld-Verified
AgenticA 85%B 64.7%Winner: Claude Mythos 5Δ 20.3OSWorld-Verified: Claude Mythos 5 scored 85%; GPT-5.3 Codex scored 64.7%. Claude Mythos 5 wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 88%B 77.3%Winner: Claude Mythos 5Δ 10.7Terminal-Bench 2.0: Claude Mythos 5 scored 88%; GPT-5.3 Codex scored 77.3%. Claude Mythos 5 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 95.5%B 85%Winner: Claude Mythos 5Δ 10.5SWE-bench Verified: Claude Mythos 5 scored 95.5%; GPT-5.3 Codex scored 85%. Claude Mythos 5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Mythos 5 | GPT-5.3 Codex | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Mythos 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 Mythos 5Not available | GPT-5.3 Codex79 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Mythos 5Not available | GPT-5.3 Codex88.26 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Mythos 51M+ | GPT-5.3 Codex400K | Claude Mythos 5 lists the larger context window. |
Benchmark Deep Dive
AgenticClaude Mythos 5 wins7 benchmarks
| Benchmark | Claude Mythos 5 | GPT-5.3 Codex | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 88% | 77.3% | Claude Mythos 5 leads |
| OSWorld-VerifiedSource | 85% | 64.7% | Claude Mythos 5 leads |
| BrowseCompSource | 88% | — | Not comparable |
| ExploitGymSource | 17.5% | — | Not comparable |
| τ²-bench resultsSource | — | 86% | Not comparable |
| Gert LabsSource | — | 57.47% | Not comparable |
| JobBenchSource | — | 33.7% | Not comparable |
CodingClaude Mythos 5 wins6 benchmarks
| Benchmark | Claude Mythos 5 | GPT-5.3 Codex | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 95.5% | 85% | Claude Mythos 5 leads |
| SWE-bench ProSource | 80.3% | 56.8% | Claude Mythos 5 leads |
| Terminal-Bench 2.0Source | 88.0% | — | Not comparable |
| SWE-RebenchSource | — | 58.2% | Not comparable |
| Vibe Code BenchSource | — | 61.77% | Not comparable |
| AA-SciCodeSource | — | 53.2% | Not comparable |
Reasoning2 benchmarks
Knowledge9 benchmarks
| Benchmark | Claude Mythos 5 | GPT-5.3 Codex | Result |
|---|---|---|---|
| GPQASource | 94.1% | — | Not comparable |
| HLESource | 64.5% | — | Not comparable |
| HLE w/o toolsSource | 59% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 44.3% | Not comparable |
| AA-GPQA DiamondSource | — | 91.5% | Not comparable |
| AA-HLESource | — | 39.9% | Not comparable |
| AA-Omniscience IndexSource | — | 9.9% | Not comparable |
| AA-Omniscience AccuracySource | — | 51.8% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 86.9% | Not comparable |
Math1 benchmarks
| Benchmark | Claude Mythos 5 | GPT-5.3 Codex | Result |
|---|---|---|---|
| USAMO 2026Source | 97.6% | — | Not comparable |
Multilingual1 benchmarks
| Benchmark | Claude Mythos 5 | GPT-5.3 Codex | Result |
|---|---|---|---|
| SWE MultilingualSource | 92.2% | — | Not comparable |
Multimodal5 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Mythos 5 | GPT-5.3 Codex | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 75.4% | Not comparable |
Frequently Asked Questions (3)
Which is better, Claude Mythos 5 or GPT-5.3 Codex?
Claude Mythos 5 is ahead on BenchLM's BenchAlign leaderboard, 83.93 to 66.69. The biggest single separator in this matchup is SWE-bench Pro, where the scores are 80.3% and 56.8%.
Which is better for coding, Claude Mythos 5 or GPT-5.3 Codex?
Claude Mythos 5 has the edge for coding in this comparison, averaging 89.7 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 Mythos 5 or GPT-5.3 Codex?
Claude Mythos 5 has the edge for agentic tasks in this comparison, averaging 87 versus 71.4. Inside this category, OSWorld-Verified is the benchmark that creates the most daylight between them.
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