Knowledge
Like-for-like- Claude Mythos 5
- 68.5
- Inkling-Small
- 53.4
- Weighted basis
- 2 vs 2 rows
- Reading
- Claude Mythos 5 leads
Model comparison
Updated July 30, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
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.
1K fresh input + 500 output tokens
Inkling-Small
Inkling-Small 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-Small
Inkling-Small 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-Small
Inkling-Small has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Code generation, repair, and software-engineering tasks
Not enough matched evidence
The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.
Confidence: limited
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.
3 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-Small | Weighted basis | Reading |
|---|---|---|---|---|
| Knowledge | 68.5 | 53.4 | Like-for-like2 vs 2 rows | Claude Mythos 5 leads |
| Agentic | 87.0 | 70.1 | Directional only3 vs 2 rows | Directional only |
| Coding | 89.7 | 62.4 | Directional only2 vs 3 rows | Directional only |
| Multimodal | 93.5 | 76.6 | Directional only1 vs 2 rows | Directional only |
| Reasoning | Not measured | 40.1 | Not comparable0 vs 1 rows | Not comparable |
| Math | 97.6 | 92.9 | Not comparable1 vs 2 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Instruction following | Not measured | 82.2 | 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-Small has the lower modeled cost
Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Inkling-Small has the lower modeled cost
Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Inkling-Small 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-Small
1M
Claude Mythos 5
claude-mythos-5
Anthropic model overviewInkling-Small
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-Small
$0.116 per 1M cached input tokens
Claude Mythos 5
text, image
Anthropic model overviewInkling-Small
Not sourced
Claude Mythos 5
Inkling-Small
Not sourced
Claude Mythos 5
Limited Access · Claude API
Anthropic model overviewInkling-Small
Not sourced
Claude Mythos 5
Reasoning
Inkling-Small
Hybrid
Claude Mythos 5
Proprietary
Inkling-Small
Open Weight
Claude Mythos 5
Proprietary
Inkling-Small
Open Weight
Claude Mythos 5
2026-06-09
Inkling-Small
2026-07-30
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
ExploitGym
Not directly comparable
MCP Atlas
Not directly comparable
Toolathlon-Verified
Not directly comparable
SWE-bench Verified
Claude Mythos 5 leads this result
SWE-bench Pro
Claude Mythos 5 leads this result
Terminal-Bench 2.0
Claude Mythos 5 leads this result
SciCode
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
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner. The page therefore keeps the decision tied to the specific documented workload.
The current coding 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.
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 $0.0013 on Inkling-Small; repository review costs $0.65 and $0.03332; the cache-heavy agent loop costs $0.9 and $0.0492. Costs use the listed standard API rates.
Both models list the same context window, 1M.
Last updated July 30, 2026
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