Coding
Like-for-like- Claude Mythos 5
- 89.7
- Inkling
- 68.6
- Weighted basis
- 2 vs 2 rows
- Reading
- Claude Mythos 5 leads
Five or fewer confirmed AI changes, with original sources, on mornings when something changed.A free source-linked morning brief.
Start the free Radar BriefUpdated August 29, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
Claude Mythos 5 has the higher public score, 83.4 versus 67.02, and the 90% score intervals do not overlap.
10 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.
Code generation, repair, and software-engineering tasks
Claude Mythos 5
Claude Mythos 5 leads on the same 2 weighted benchmark rows.
Confidence: limited
1K fresh input + 500 output tokens
Inkling
Inkling has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
200K cached + 20K fresh input + 10K output tokens
Inkling
Inkling has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
50K fresh input + 3K output tokens
Inkling
Inkling has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Tool use, computer use, and multi-step task completion
Not enough matched evidence
The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.
Confidence: limited
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Confidence: documented
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
2 categories use different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.
| Category | Claude Mythos 5 | Inkling | Weighted basis | Reading |
|---|---|---|---|---|
| Coding | 89.7 | 68.6 | Like-for-like2 vs 2 rows | Claude Mythos 5 leads |
| Knowledge | 68.5 | 51.6 | Like-for-like2 vs 2 rows | Claude Mythos 5 leads |
| Agentic | 87.0 | 69.4 | Directional only3 vs 2 rows | Directional only |
| Multimodal | 93.5 | 76.5 | Directional only1 vs 2 rows | Directional only |
| Reasoning | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Math | 97.6 | 97.1 | Not comparable1 vs 1 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Instruction following | Not measured | 79.8 | Not comparable0 vs 1 rows | Not comparable |
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.
SWE-bench Pro
Coding
Terminal-Bench 2.0
Agentic
HLE
Knowledge
SWE-bench Verified
Coding
CharXiv
Multimodal
Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.
1K fresh input + 500 output tokens
Inkling has the lower modeled cost
Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Inkling has the lower modeled cost
Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Inkling has the lower modeled cost
Costs use the listed standard API rates.
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Maximum documented context; output-token limits may be lower.
Claude Mythos 5
Inkling
1M
Claude Mythos 5
claude-mythos-5
Anthropic model overviewInkling
Not sourced
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Claude Mythos 5
$1 per 1M cached input tokens
Claude API pricingInkling
$0.374 per 1M cached input tokens
Claude Mythos 5
text, image
Anthropic model overviewInkling
Not sourced
Claude Mythos 5
Inkling
Not sourced
Claude Mythos 5
Limited Access · Claude API
Anthropic model overviewInkling
Not sourced
Claude Mythos 5
Reasoning
Inkling
Hybrid
Claude Mythos 5
Proprietary
Inkling
Open Weight
Claude Mythos 5
Proprietary
Inkling
Open Weight
Claude Mythos 5
2026-06-09
Inkling
2026-07-15
Run the same representative tasks against both endpoints before changing production traffic.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Terminal-Bench 2.0
Claude Mythos 5 leads this result
OSWorld-Verified
Not directly comparable
BrowseComp
Claude Mythos 5 leads this result
CyberGym
Not directly comparable
MCP Atlas
Not directly comparable
GPQA
Claude Mythos 5 leads this result
HLE
Claude Mythos 5 leads this result
HLE w/o tools
Claude Mythos 5 leads this result
GPQA-D
Not directly comparable
SWE Multilingual
Not directly comparable
SWE-bench Multimodal
Not directly comparable
CharXiv
Claude Mythos 5 leads this result
CharXiv w/o tools
Claude Mythos 5 leads this result
MMMU-Pro
Not directly comparable
IFBench
Not directly comparable
Claude Mythos 5 has the higher public score, 83.4 versus 67.02, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.
Claude Mythos 5 leads the like-for-like coding comparison across 2 shared weighted benchmark rows.
The current agentic tasks averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.
For the stated presets, chat costs $0.035 on Claude Mythos 5 and $0.00421 on Inkling; repository review costs $0.65 and $0.10754; the cache-heavy agent loop costs $0.9 and $0.159. Costs use the listed standard API rates.
Both models list the same context window, 1M.
Last updated August 29, 2026
One weekly email when material rank, price, or benchmark evidence changes make this matchup worth revisiting.
Read a sample issueJoin 2,000+ readers.