Agentic
Not comparable- Claude Mythos 5
- Not ranked
- Gemini 3.5 Flash-Lite
- 43.4
- Estimated · #104/151
- Basis
- BenchAlign lane · 4 vs 3 public rows
- Reading
- Not comparable
Five or fewer confirmed AI changes, with original sources, on mornings when something changed.A free source-linked morning brief.
See the free Radar BriefUpdated September 4, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
4 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
Share or export
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
Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite 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
Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite 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
Gemini 3.5 Flash-Lite
Gemini 3.5 Flash-Lite 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
Claude Mythos 5 is not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limited
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Claude Mythos 5 is not ranked on the public lane for agentic, so no winner is named for agentic.
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.
Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.
| Category | Claude Mythos 5 | Gemini 3.5 Flash-Lite | Basis | Reading |
|---|---|---|---|---|
| Agentic | Not ranked | 43.4Estimated · #104/151 | Not comparableBenchAlign lane · 4 vs 3 public rows | Not comparable |
| Coding | Not ranked | 43.6Supported · #121/183 | Not comparableBenchAlign lane · 3 vs 4 public rows | Not comparable |
| Reasoning | Not ranked | 60.8Unranked · 3 rankable rows | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
| Knowledge | Not ranked | 53.0Supported · #71/181 | Not comparableBenchAlign lane · 3 vs 2 public rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 1 vs 0 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | 84.9Unranked · 3 rankable rows | 76.1#16/48 | Not comparableProvisional lane · 1 vs 0 weighted rows | Not comparable |
| Instruction following | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
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.
Terminal-Bench 2.0
Agentic
SWE-bench Pro
Coding
OSWorld-Verified
Agentic
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
Gemini 3.5 Flash-Lite has the lower modeled cost
Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Gemini 3.5 Flash-Lite has the lower modeled cost
Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Gemini 3.5 Flash-Lite 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
Gemini 3.5 Flash-Lite
Claude Mythos 5
claude-mythos-5
Anthropic model overviewGemini 3.5 Flash-Lite
gemini-3.5-flash-lite
Google Gemini 3.5 Flash-Lite model documentationA 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 pricingGemini 3.5 Flash-Lite
$0.03 per 1M cached input tokens
Google Gemini API pricingClaude Mythos 5
text, image
Anthropic model overviewGemini 3.5 Flash-Lite
text, image, video, audio, pdf
Google Gemini 3.5 Flash-Lite model documentationClaude Mythos 5
Gemini 3.5 Flash-Lite
Claude Mythos 5
Limited Access · Claude API
Anthropic model overviewGemini 3.5 Flash-Lite
Generally Available · Gemini API, Google AI Studio
Google latest Gemini model guideClaude Mythos 5
Reasoning
Gemini 3.5 Flash-Lite
Reasoning
Claude Mythos 5
Proprietary
Gemini 3.5 Flash-Lite
Proprietary
Claude Mythos 5
Proprietary
Gemini 3.5 Flash-Lite
Proprietary
Claude Mythos 5
2026-06-09
Gemini 3.5 Flash-Lite
2026-07-21
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
Claude Mythos 5 leads this result
BrowseComp
Not directly comparable
CyberGym
Not directly comparable
Terminal-Bench 2.1 (Vals)
Not directly comparable
SWE-bench Verified
Not directly comparable
SWE-bench Pro
Claude Mythos 5 leads this result
Terminal-Bench 2.0
Claude Mythos 5 leads this result
LiveCodeBench (Vals)
Not directly comparable
SWE-bench (Vals)
Not directly comparable
MRCRv2
Not directly comparable
GPQA
Not directly comparable
HLE
Not directly comparable
HLE w/o tools
Not directly comparable
GPQA Diamond (Vals)
Not directly comparable
MMLU-Pro (Vals)
Not directly comparable
USAMO 2026
Not directly comparable
SWE Multilingual
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.
Claude Mythos 5 is not ranked on the public lane for coding, so no winner is named for coding.
Claude Mythos 5 is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
For the stated presets, chat costs $0.035 on Claude Mythos 5 and $0.00155 on Gemini 3.5 Flash-Lite; repository review costs $0.65 and $0.0225; the cache-heavy agent loop costs $0.9 and $0.037. Costs use the listed standard API rates.
Both models list the same context window, 1M.
Last updated September 4, 2026
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