Model comparison
Claude Mythos 5 vs DeepSeek V4 Pro (High)
Head-to-head evidence from 7 shared benchmark results across 3 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Mythos 5 #1 (Supported); DeepSeek V4 Pro (High) #81 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Mythos 5 and DeepSeek V4 Pro (High) share 7 comparable benchmark results. 4 of 8 categories are comparable. 8 results are unique to Claude Mythos 5; 31 to DeepSeek V4 Pro (High).
Updated July 23, 2026- Shared results
- 7
- Claude Mythos 5 only
- 8
- DeepSeek V4 Pro (High) only
- 31
- Comparable categories
- 4 / 8
Pick Claude Mythos 5 if you want the stronger benchmark profile. DeepSeek V4 Pro (High) only becomes the better choice if you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 7 shared benchmark results across 3 evidence categories; 4 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 55.47. 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 69.8. The single biggest benchmark swing on the page is HLE, 64.5% to 34.5%.
Claude Mythos 5 is also the more expensive model on tokens at $10.00 input / $50.00 output per 1M tokens, versus $0.43 input / $0.87 output per 1M tokens for DeepSeek V4 Pro (High). That is roughly 57.5x on output cost alone. Claude Mythos 5 gives you the larger context window at 1M+, compared with 1M for DeepSeek V4 Pro (High).
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 | DeepSeek V4 Pro (High) |
|---|---|---|---|
| Coding | Claude Mythos 589.7 | Margin← 19.9 | DeepSeek V4 Pro (High)69.8 |
| Agentic | Claude Mythos 587.0 | Margin← 16.4 | DeepSeek V4 Pro (High)70.6 |
| Knowledge | Claude Mythos 568.5 | Margin← 11.5 | DeepSeek V4 Pro (High)57.0 |
| Math | Claude Mythos 597.6 | Margin← 3.6 | DeepSeek V4 Pro (High)94.0 |
| Multimodal | Claude Mythos 593.5 | MarginNo overlap | DeepSeek V4 Pro (High)Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HLE
KnowledgeA 64.5%B 34.5%Winner: Claude Mythos 5Δ 30HLE: Claude Mythos 5 scored 64.5%; DeepSeek V4 Pro (High) scored 34.5%. Claude Mythos 5 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 80.3%B 54.4%Winner: Claude Mythos 5Δ 25.9SWE-bench Pro: Claude Mythos 5 scored 80.3%; DeepSeek V4 Pro (High) scored 54.4%. Claude Mythos 5 wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 88%B 63.3%Winner: Claude Mythos 5Δ 24.7Terminal-Bench 2.0: Claude Mythos 5 scored 88%; DeepSeek V4 Pro (High) scored 63.3%. Claude Mythos 5 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 95.5%B 79.4%Winner: Claude Mythos 5Δ 16.1SWE-bench Verified: Claude Mythos 5 scored 95.5%; DeepSeek V4 Pro (High) scored 79.4%. Claude Mythos 5 wins this benchmark. - Source ↗
BrowseComp
AgenticA 88%B 80.4%Winner: Claude Mythos 5Δ 7.6BrowseComp: Claude Mythos 5 scored 88%; DeepSeek V4 Pro (High) scored 80.4%. 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 | DeepSeek V4 Pro (High) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Mythos 5$10 input / $50 output | DeepSeek V4 Pro (High)$0.435 input / $0.87 output | DeepSeek V4 Pro (High) has the lower combined listed price. |
| Generation speedtokens per second | Claude Mythos 5Not available | DeepSeek V4 Pro (High)Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Mythos 5Not available | DeepSeek V4 Pro (High)Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Mythos 51M+ | DeepSeek V4 Pro (High)1M | Claude Mythos 5 lists the larger context window. |
Benchmark Deep Dive
AgenticClaude Mythos 5 wins11 benchmarks
| Benchmark | Claude Mythos 5 | DeepSeek V4 Pro (High) | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 88% | 63.3% | Claude Mythos 5 leads |
| OSWorld-VerifiedSource | 85% | — | Not comparable |
| BrowseCompSource | 88% | 80.4% | Claude Mythos 5 leads |
| ExploitGymSource | 17.5% | — | Not comparable |
| HLE w/ toolsSource | — | 44.7% | Not comparable |
| MCP AtlasSource | — | 74.2% | Not comparable |
| ToolathlonSource | — | 49% | Not comparable |
| τ²-bench resultsSource | — | 94.2% | Not comparable |
| GDPval-AASource | — | 39.9% | Not comparable |
| GDPval-AASource | — | 1299 | Not comparable |
| AA Agentic IndexSource | — | 34.4% | Not comparable |
CodingClaude Mythos 5 wins7 benchmarks
| Benchmark | Claude Mythos 5 | DeepSeek V4 Pro (High) | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 95.5% | 79.4% | Claude Mythos 5 leads |
| SWE-bench ProSource | 80.3% | 54.4% | Claude Mythos 5 leads |
| Terminal-Bench 2.0Source | 88.0% | 63.3% | Claude Mythos 5 leads |
| CodeforcesSource | — | 2919.0 | Not comparable |
| SWE MultilingualSource | — | 74.1% | Not comparable |
| AA-SciCodeSource | — | 46.4% | Not comparable |
| AA Coding IndexSource | — | 58.7% | Not comparable |
Reasoning4 benchmarks
KnowledgeClaude Mythos 5 wins13 benchmarks
| Benchmark | Claude Mythos 5 | DeepSeek V4 Pro (High) | Result |
|---|---|---|---|
| GPQASource | 94.1% | 89.1% | Claude Mythos 5 leads |
| HLESource | 64.5% | 34.5% | Claude Mythos 5 leads |
| HLE w/o toolsSource | 59% | — | Not comparable |
| MMLU-ProSource | — | 87.1% | Not comparable |
| SimpleQASource | — | 46.2% | Not comparable |
| Chinese-SimpleQASource | — | 77.7% | Not comparable |
| GPQA-DSource | — | 89.1% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 43.1% | Not comparable |
| AA-GPQA DiamondSource | — | 90.5% | Not comparable |
| AA-HLESource | — | 33.5% | Not comparable |
| AA-Omniscience IndexSource | — | -9.7% | Not comparable |
| AA-Omniscience AccuracySource | — | 41.8% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 88.6% | Not comparable |
MathClaude Mythos 5 wins5 benchmarks
Multilingual1 benchmarks
| Benchmark | Claude Mythos 5 | DeepSeek V4 Pro (High) | Result |
|---|---|---|---|
| SWE MultilingualSource | 92.2% | — | Not comparable |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Mythos 5 | DeepSeek V4 Pro (High) | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 71.3% | Not comparable |
Frequently Asked Questions (5)
Which is better, Claude Mythos 5 or DeepSeek V4 Pro (High)?
Claude Mythos 5 is ahead on BenchLM's BenchAlign leaderboard, 83.93 to 55.47. The biggest single separator in this matchup is HLE, where the scores are 64.5% and 34.5%.
Which is better for knowledge tasks, Claude Mythos 5 or DeepSeek V4 Pro (High)?
Claude Mythos 5 has the edge for knowledge tasks in this comparison, averaging 68.5 versus 57. Inside this category, HLE is the benchmark that creates the most daylight between them.
Which is better for coding, Claude Mythos 5 or DeepSeek V4 Pro (High)?
Claude Mythos 5 has the edge for coding in this comparison, averaging 89.7 versus 69.8. Inside this category, SWE-bench Pro is the benchmark that creates the most daylight between them.
Which is better for math, Claude Mythos 5 or DeepSeek V4 Pro (High)?
Claude Mythos 5 has the edge for math in this comparison, averaging 97.6 versus 94. DeepSeek V4 Pro (High) stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, Claude Mythos 5 or DeepSeek V4 Pro (High)?
Claude Mythos 5 has the edge for agentic tasks in this comparison, averaging 87 versus 70.6. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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