Model comparison
Claude Mythos 5 vs Ling 2.6 Flash
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Mythos 5 #1 (Supported); Ling 2.6 Flash #154 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Mythos 5 and Ling 2.6 Flash share 1 comparable benchmark result. 2 of 8 categories are comparable. 14 results are unique to Claude Mythos 5; 17 to Ling 2.6 Flash.
Updated July 23, 2026- Shared results
- 1
- Claude Mythos 5 only
- 14
- Ling 2.6 Flash only
- 17
- Comparable categories
- 2 / 8
Pick Claude Mythos 5 if you want the stronger benchmark profile. Ling 2.6 Flash only becomes the better choice if you would rather avoid the extra latency and token burn of a reasoning model.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 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 43.87. 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 27. The single biggest benchmark swing on the page is GPQA, 94.1% to 59%.
Claude Mythos 5 is the reasoning model in the pair, while Ling 2.6 Flash is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Claude Mythos 5 gives you the larger context window at 1M+, compared with 262K for Ling 2.6 Flash.
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 | Ling 2.6 Flash |
|---|---|---|---|
| Coding | Claude Mythos 589.7 | Margin← 62.7 | Ling 2.6 Flash27.0 |
| Knowledge | Claude Mythos 568.5 | Margin← 9.5 | Ling 2.6 Flash59.0 |
| Agentic | Claude Mythos 587.0 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Math | Claude Mythos 597.6 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Multimodal | Claude Mythos 593.5 | MarginNo overlap | Ling 2.6 FlashNot measured |
| Inst. Following | Claude Mythos 5Not measured | MarginNo overlap | Ling 2.6 Flash57.0 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 94.1%B 59%Winner: Claude Mythos 5Δ 35.1GPQA: Claude Mythos 5 scored 94.1%; Ling 2.6 Flash scored 59%. 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 | Ling 2.6 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Mythos 5$10 input / $50 output | Ling 2.6 FlashNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Mythos 5Not available | Ling 2.6 Flash209.5 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Mythos 5Not available | Ling 2.6 Flash1.07 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Mythos 51M+ | Ling 2.6 Flash262K | Claude Mythos 5 lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Claude Mythos 5 | Ling 2.6 Flash | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 88% | — | Not comparable |
| OSWorld-VerifiedSource | 85% | — | Not comparable |
| BrowseCompSource | 88% | — | Not comparable |
| ExploitGymSource | 17.5% | — | Not comparable |
| τ²-bench resultsSource | — | 86% | Not comparable |
| GDPval-AASource | — | 2.2% | Not comparable |
| GDPval-AASource | — | 545 | Not comparable |
| AA Agentic IndexSource | — | 2.3% | Not comparable |
CodingClaude Mythos 5 wins6 benchmarks
Reasoning2 benchmarks
KnowledgeClaude Mythos 5 wins9 benchmarks
| Benchmark | Claude Mythos 5 | Ling 2.6 Flash | Result |
|---|---|---|---|
| GPQASource | 94.1% | 59% | Claude Mythos 5 leads |
| HLESource | 64.5% | — | Not comparable |
| HLE w/o toolsSource | 59% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 14.1% | Not comparable |
| AA-GPQA DiamondSource | — | 59.3% | Not comparable |
| AA-HLESource | — | 6.2% | Not comparable |
| AA-Omniscience IndexSource | — | -65.7% | Not comparable |
| AA-Omniscience AccuracySource | — | 15.4% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 95.8% | Not comparable |
Math1 benchmarks
| Benchmark | Claude Mythos 5 | Ling 2.6 Flash | Result |
|---|---|---|---|
| USAMO 2026Source | 97.6% | — | Not comparable |
Multilingual1 benchmarks
| Benchmark | Claude Mythos 5 | Ling 2.6 Flash | Result |
|---|---|---|---|
| SWE MultilingualSource | 92.2% | — | Not comparable |
Multimodal3 benchmarks
Frequently Asked Questions (3)
Which is better, Claude Mythos 5 or Ling 2.6 Flash?
Claude Mythos 5 is ahead on BenchLM's BenchAlign leaderboard, 83.93 to 43.87. The biggest single separator in this matchup is GPQA, where the scores are 94.1% and 59%.
Which is better for knowledge tasks, Claude Mythos 5 or Ling 2.6 Flash?
Claude Mythos 5 has the edge for knowledge tasks in this comparison, averaging 68.5 versus 59. Inside this category, GPQA is the benchmark that creates the most daylight between them.
Which is better for coding, Claude Mythos 5 or Ling 2.6 Flash?
Claude Mythos 5 has the edge for coding in this comparison, averaging 89.7 versus 27. Ling 2.6 Flash stays close enough that the answer can still flip depending on your workload.
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