Long documents
Prompts that approach the documented context limit
Pokee-Isaac 28B
Pokee-Isaac 28B has the larger documented context window.
Updated October 29, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead. 0 results are shared. Category rows resting on Estimated evidence or 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.
Prompts that approach the documented context limit
Pokee-Isaac 28B
Pokee-Isaac 28B has the larger documented context window.
1K fresh input + 500 output tokens
Pokee-Isaac 28B
Pokee-Isaac 28B has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Pokee-Isaac 28B
Pokee-Isaac 28B has the lower estimated token cost for this stated workload. Pokee-Isaac 28B has no published cached-input rate, so cached tokens use its listed input rate.
50K fresh input + 3K output tokens
Pokee-Isaac 28B
Pokee-Isaac 28B has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Pokee-Isaac 28B is not ranked on the public lane for coding, so no winner is named for coding.
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Pokee-Isaac 28B is not ranked on the public lane for agentic, so no winner is named for agentic.
Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.
The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.
Not comparable · BenchAlign v5.8
The coding row is not comparable on the public lane: at least one model is not measured or not ranked there.
Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
Each row shows the public-lane category score for both models: the BenchAlign v5.8 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 | Kimi K2.6 | Pokee-Isaac 28B | Basis | Reading |
|---|---|---|---|---|
| Agentic | 44.5Supported · #67/135 | Not ranked | Not comparableBenchAlign v5.8 lane · 12 vs 5 public rows | Not comparable |
| Coding | 42.9Supported · #63/156 | Not ranked | Not comparableBenchAlign v5.8 lane · 10 vs 1 public rows | Not comparable |
| Reasoning | Not ranked | 57.0Unranked · 1 rankable row | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
| Multimodal | 73.5#30/58 | Not ranked | Not comparableProvisional lane · 2 vs 0 weighted rows | Not comparable |
| Knowledge | 58.8Supported · #52/179 | Not ranked | Not comparableBenchAlign v5.8 lane · 5 vs 0 public rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Instruction following | 83.5#57/157 | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | 76.8#4/12 | Not ranked | Not comparableProvisional lane · 4 vs 0 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
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
Pokee-Isaac 28B has the lower modeled cost
Costs use the listed standard API rates.
50K fresh input + 3K output tokens
Pokee-Isaac 28B has the lower modeled cost
Costs use the listed standard API rates.
200K cached + 20K fresh input + 10K output tokens
Pokee-Isaac 28B has the lower modeled cost
Pokee-Isaac 28B has no published cached-input rate, so cached tokens use its listed input rate.
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.
Kimi K2.6
256K
Pokee-Isaac 28B
Kimi K2.6
Not sourced
Pokee-Isaac 28B
pokee-isaac
Pokee-Isaac 28B model pageA missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Kimi K2.6
$0.16 per 1M cached input tokens
Pokee-Isaac 28B
Not published
Pokee-Isaac 28B model pageKimi K2.6
Not sourced
Pokee-Isaac 28B
Not sourced
Kimi K2.6
Not sourced
Pokee-Isaac 28B
Not sourced
Kimi K2.6
Not sourced
Pokee-Isaac 28B
Not sourced
Kimi K2.6
Reasoning
Pokee-Isaac 28B
Reasoning
Kimi K2.6
Open Weight
Pokee-Isaac 28B
Proprietary
Kimi K2.6
Open Weight
Pokee-Isaac 28B
Proprietary
Kimi K2.6
2026-04-20
Pokee-Isaac 28B
2026-08-03
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.
Pokee-Isaac 28B is not ranked on the public lane for coding, so no winner is named for coding.
Pokee-Isaac 28B is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
For the stated presets, chat costs $0.00295 on Kimi K2.6 and $0.00065 on Pokee-Isaac 28B; repository review costs $0.0595 and $0.0105; the cache-heavy agent loop costs $0.091 and $0.043. Pokee-Isaac 28B has no published cached-input rate, so cached tokens use its listed input rate.
Pokee-Isaac 28B has the larger documented context window: 10M, compared with 256K.
Estimates at 50,000 req/day · 1000 tokens/req average.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Terminal-Bench 2.0
Not directly comparable
BrowseComp
Not directly comparable
OSWorld-Verified
Not directly comparable
Toolathlon
Not directly comparable
MCP Atlas
Not directly comparable
Claw-Eval
Not directly comparable
DeepSearchQA
Not directly comparable
WideResearch
Not directly comparable
Gert Labs
Not directly comparable
ResearchClawBench
Not directly comparable
OSWorld 2.0
Not directly comparable
Terminal-Bench 2.1 (Vals)
Not directly comparable
Terminal-Bench 2.1
Not directly comparable
BFCL v4
Not directly comparable
τ³-bench results
Not directly comparable
MCP-Atlas claim coverage
Not directly comparable
PinchBench
Not directly comparable
SWE-bench Verified
Not directly comparable
LiveCodeBench v6
Not directly comparable
SWE-bench Pro
Not directly comparable
SWE Multilingual
Not directly comparable
SciCode
Not directly comparable
Terminal-Bench 2.0
Not directly comparable
Vibe Code Bench
Not directly comparable
cursorBench31
Not directly comparable
LiveCodeBench (Vals)
Not directly comparable
SWE-bench (Vals)
Not directly comparable
Terminal-Bench 2.1
Not directly comparable
MRCRv2
Not directly comparable
MMMU-Pro
Not directly comparable
MMMU-Pro w/ Python
Not directly comparable
CharXiv
Not directly comparable
MathVision
Not directly comparable
V*
Not directly comparable
GPQA
Not directly comparable
GPQA-D
Not directly comparable
HLE
Not directly comparable
GPQA Diamond (Vals)
Not directly comparable
MMLU-Pro (Vals)
Not directly comparable
AIME26
Not directly comparable
HMMT Feb 2026
Not directly comparable
MMAnswerBench
Not directly comparable
FrontierMath v2 (Tiers 1-3)
Not directly comparable
FrontierMath v2 (Tier 4)
Not directly comparable
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Last updated October 29, 2026