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Data

Data as of October 29, 2026 · How the score is built

CurrentProprietaryReasoning

Released Aug 3, 202610M contextPokee-Isaac 28B model page

Pokee-Isaac 28B

Decision readingPokee-Isaac 28B is tracked, but not publicly ranked yet. The profile exposes 7 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Released Aug 3, 2026 — see all recent releases

Decision snapshot

Each value carries a field reference instead of floating alone. Markers compare this model with the current ranked and priced catalog; they are not absolute quality thresholds.

Capability

Unranked

field median 50.5Not eligible for a public rank

Price

$0.15input / $1 output

input median $0.75blended $0.57

Speed

Not measured

field median 92 tok/sTime to first token not measured

Context

10Mtokens

field median 256,000Maximum output length is tracked separately

Strongest published evidence

Published rows are visible, but no category has enough eligible evidence for a comparative rank.

Validate before choosing

7 published rows leave some tracked benchmark slots empty. Independent runtime speed has not been measured.

Source-linked · 7 displayable benchmark rows

Category score record

Scores and ranks appear only where published evidence can be displayed. The table keeps the score, weight, cohort, and evidence state together.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticWeight 22%5 benchmarksVerified
Score pending
CodingWeight 20%1 benchmarkVerified
Score pending
ReasoningRank Not rankedWeight 17%1 benchmarkVerified
57.0
MultimodalWeight 12%0 benchmarksNot measured
Not measured
KnowledgeWeight 12%0 benchmarksNot measured
Not measured
MultilingualWeight 7%0 benchmarksNot measured
Not measured
Inst. FollowingWeight 5%0 benchmarksNot measured
Not measured
MathWeight 5%0 benchmarksNot measured
Not measured

7 of 782 tracked benchmark slots have displayable evidence · bars run 0–100

Coverage details

How much of this is verified

Coverage is split by category so a strong number never hides a thin evidence base. Verified means the row is tied to a published source; provisional rows remain visible but separate.

  1. Agentic5/5 verified
  2. Coding1/1 verified
  3. Reasoning1/1 verified
  4. MultimodalNot measured
  5. KnowledgeNot measured
  6. MultilingualNot measured
  7. Inst. FollowingNot measured
  8. MathNot measured
Verified sourceProvisionalNot measured

Benchmark ledger

Coding opens by default. The marker compares each value with the best source-verified result in the catalog; provisional leaders do not set the reference. Expand the remaining categories for every published row.

Coding1 row
Coding benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.1Score65.1%Versus best verified row

Best verified: SWE-2 · 92.8%

Gap27.7 behindWeightScored in Agentic
Agentic5 rows
Agentic benchmark values, best verified comparison, weight, and source status
Terminal-Bench 2.1Score65.1%Versus best verified row

Best verified: SWE-2 · 92.8%

Gap27.7 behindWeight8% ref. weight
BFCL v4Berkeley Function Calling Leaderboard v4Score70.9%Versus best verified row

Best verified: BTL-3 · 88.5%

Gap17.6 behindWeight3% ref. weight
τ³-bench resultsτ³-Bench Tool-Agent-User EvaluationScore66.2%Versus best verified row

Best verified: Mercury 2.5 · 96.0%

Gap29.8 behindWeight2% ref. weight
MCP-Atlas claim coverageMCP-Atlas mean claim coverageScore74.6%Versus best verified row

Best verified: Claude Opus 5 · 89.1%

Gap14.5 behindWeightDisplay only
PinchBenchScore95.7%Versus best verified row

Best verified: Pokee-Isaac 28B · 95.7%

GapBest verifiedWeightDisplay only
Reasoning1 row
Reasoning benchmark values, best verified comparison, weight, and source status
MRCRv2Score60.7%Versus best verified row

Best verified: Sakana Fugu-Ultra · 93.6%

Gap32.9 behindWeightWeighted 20%

Bars run 0–100; the dark tick marks the best source-verified value

All 7 rows

Lineage

The sequence follows explicit supersedes links. Each score is estimated for that model; a relative can inform a sparse estimate but never sets a floor, so a newer release can score below an earlier one. Scores and prices remain blank when the corresponding public row or first-party rate is unavailable.

  1. Aug 3, 2026 · you are here

    Pokee-Isaac 28B

    Not publicly ranked · $0.15 / $1

Base entry

Spec sheet

Each documented value carries its source. Missing fields stay visible as not sourced or not published, rather than disappearing from the page.

API model ID
pokee-isaacPokee-Isaac 28B model page
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not disclosed by the provider
Availability
Pokee serves the proprietary pokee-isaac API model through its OpenAI-compatible Developer API and offers managed, customer-VPC, on-premises, and on-device deployment paths. Pokee has not published the Isaac weights; its terms identify Pokee Isaac as proprietary.
Cloud regions
Not tracked yet
Lifecycle
Current
API capabilities
Tool calling, structured outputs, and batch support are not tracked yet
Prompt caching
Not documented in the pricing recordPokee-Isaac 28B model page
Self-host
Weights are not published
Rate limits
Not tracked yet

How to read this profile

The visual layer above carries the decisions. These notes preserve the model, ranking, coverage, and family context behind the numbers.

We track Pokee-Isaac 28B, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.

Pokee-Isaac 28B is a proprietary model with a 10M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

Pokee serves the proprietary pokee-isaac API model through its OpenAI-compatible Developer API and offers managed, customer-VPC, on-premises, and on-device deployment paths. Pokee has not published the Isaac weights; its terms identify Pokee Isaac as proprietary.

Official exact-value snapshot from Pokee AI's August 3, 2026 Pokee-Isaac 28B v0 model page and technical report. BenchLM maps the report's 256K MRCR v2 8-needle result, BFCL v4 overall, four-domain Tau3 text-track average, MCP-Atlas mean claim coverage, Terminal-Bench 2.1 text-only subset, and PinchBench completed-task score to existing exact keys. RULER length sweeps, the remaining MRCR length bins, BFCL component rows, Tau3 domain rows, MCP-Atlas pass counts and turn counts, DTAP security rates, and hardware throughput stay outside the scored fields rather than being collapsed into non-equivalent metrics. Pokee reports a text-only 28B model with a 10M-token context window; some weights were fine-tuned from Qwen3.6-27B, but Isaac itself remains proprietary.

7 of 782 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Last updated October 29, 2026. Runtime fields remain blank until a sourced snapshot exists.

Questions

How does Pokee-Isaac 28B perform overall in AI benchmarks?

Pokee-Isaac 28B has 7 source-displayable benchmark rows, but it does not qualify for a public overall rank. The available rows remain visible by category without being converted into a site-wide score. Missing evidence stays blank instead of being estimated from an earlier model.

Is Pokee-Isaac 28B good for coding and programming?

Pokee-Isaac 28B has source-displayable benchmark coverage for coding and programming, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Pokee-Isaac 28B good for reasoning and logic?

Pokee-Isaac 28B has source-displayable benchmark coverage for reasoning and logic, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Is Pokee-Isaac 28B good for agentic tool use and computer tasks?

Pokee-Isaac 28B has source-displayable benchmark coverage for agentic tool use and computer tasks, but the public category table does not assign it a rank there. The individual rows remain available for inspection. A missing category position means the evidence threshold was not met; it does not convert the model's unmeasured work into a zero.

Does Pokee-Isaac 28B have full benchmark coverage on BenchLM?

No. Pokee-Isaac 28B currently has 7 source-displayable rows. The profile exposes published, non-generated evidence and leaves missing categories blank until an exact evaluation is available. Coverage describes how much was measured; it is not a penalty added to an individual benchmark result.

What is the context window size of Pokee-Isaac 28B?

Pokee-Isaac 28B has a documented context window of 10M. That figure is the maximum combined prompt and retained-conversation space reported for this exact model; it is not the maximum output length. The profile keeps output limits separate because providers often publish those limits independently.

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Compare Pokee-Isaac 28B with every tracked model1003 comparisons