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BenchLM

Gemini 3.7 Flash vs Pokee-Isaac 28B

Updated September 27, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.

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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. 2 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A
Google logo

Google

67.66/100

Supported · Public rank #19

90% interval 63.0–72.3

Model B
Pokee AI logo

Pokee AI

—

Evidence status unavailable

90% interval unavailable

Shared results
2
Gemini 3.7 Flash only
23
Pokee-Isaac 28B only
5
Like-for-like categories
0 / 8
Supported: Gemini 3.7 FlashHow the comparison works

Which one for your work

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.

  • Long documents

    Prompts that approach the documented context limit

    Pokee-Isaac 28B

    Pokee-Isaac 28B has the larger documented context window.

    Confidence: documented
  • Chat turn cost

    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.

    Confidence: listed-rates
  • Cache-heavy agent loop cost

    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.

    Confidence: rate-fallback
Show secondary and unsupported calls
  • Repository review cost

    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.

    Confidence: listed-rates
  • Coding work

    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.

    Confidence: limited
  • Agentic work

    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.

    Confidence: limited

Which one for a specific job

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.

60.3Gemini 3.7 Flash—Pokee-Isaac 28B

Not comparable · BenchAlign v5.7

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.

Same basis rules as the category table below

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

Shape of the matched evidence

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.

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign v5.7 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.

Agentic

Not comparable
Gemini 3.7 Flash
58.6
Supported · #20/105
Pokee-Isaac 28B
Not ranked
Basis
BenchAlign v5.7 lane · 7 vs 5 public rows
Reading
Not comparable

Coding

Not comparable
Gemini 3.7 Flash
60.3
Supported · #17/135
Pokee-Isaac 28B
Not ranked
Basis
BenchAlign v5.7 lane · 6 vs 1 public rows
Reading
Not comparable

Reasoning

Not comparable
Gemini 3.7 Flash
77.8
Unranked · 5 rankable rows
Pokee-Isaac 28B
39.7
Unranked · 1 rankable row
Basis
Provisional lane · 1 vs 1 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Gemini 3.7 Flash
82.6
#10/50
Pokee-Isaac 28B
Not ranked
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Knowledge

Not comparable
Gemini 3.7 Flash
71.1
Supported · #10/158
Pokee-Isaac 28B
Not ranked
Basis
BenchAlign v5.7 lane · 6 vs 0 public rows
Reading
Not comparable

Multilingual

Not comparable
Gemini 3.7 Flash
Not ranked
Pokee-Isaac 28B
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Gemini 3.7 Flash
Not ranked
Pokee-Isaac 28B
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
Gemini 3.7 Flash
Not ranked
Pokee-Isaac 28B
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.7) 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.

Supported evidence per lane · bars run 0–100Methodology

What each workload costs

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.

Chat turn

1K fresh input + 500 output tokens

Gemini 3.7 Flash
$0.00262
Fits in one request
Pokee-Isaac 28B
$0.00065
Fits in one request

Pokee-Isaac 28B has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

Gemini 3.7 Flash
$0.04875
Fits in one request
Pokee-Isaac 28B
$0.0105
Fits in one request

Pokee-Isaac 28B has the lower modeled cost

Costs use the listed standard API rates.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Gemini 3.7 Flash
$0.0675
Fits in one request
Pokee-Isaac 28B
$0.043
Fits in one request
Cached input priced at the published list-input rate

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.

Cached input falls back to the list input rate only where a cached rate is unpublished

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Provider availability

Gemini 3.7 Flash

Generally Available · Gemini API, Google AI Studio, Gemini App - Spark, Gemini Enterprise App, Gemini Enterprise Agent Platform, Google Antigravity

Google DeepMind Gemini 3.7 Flash model card

Pokee-Isaac 28B

Not sourced

Reasoning profile

Gemini 3.7 Flash

Reasoning

Pokee-Isaac 28B

Reasoning

Weight access

Gemini 3.7 Flash

Proprietary

Pokee-Isaac 28B

Proprietary

License

Gemini 3.7 Flash

Proprietary

Pokee-Isaac 28B

Proprietary

Release date

Gemini 3.7 Flash

2026-08-13

Pokee-Isaac 28B

2026-08-03

If you already use one of these models

Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal
At least one model is not scored in the current public ranking lane, so the page does not name an overall quality winner.
Workload cost
Repository review: $0.04875 vs $0.0105. Cache-heavy agent loop: $0.0675 vs $0.043.
Context tradeoff
Pokee-Isaac 28B has the larger documented window (10M).
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Gemini 3.7 Flash or Pokee-Isaac 28B?

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.

Which is better for coding, Gemini 3.7 Flash or Pokee-Isaac 28B?

Pokee-Isaac 28B is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Gemini 3.7 Flash or Pokee-Isaac 28B?

Pokee-Isaac 28B is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Gemini 3.7 Flash or Pokee-Isaac 28B?

For the stated presets, chat costs $0.00263 on Gemini 3.7 Flash and $0.00065 on Pokee-Isaac 28B; repository review costs $0.04875 and $0.0105; the cache-heavy agent loop costs $0.0675 and $0.043. Pokee-Isaac 28B has no published cached-input rate, so cached tokens use its listed input rate.

Which has the larger context window, Gemini 3.7 Flash or Pokee-Isaac 28B?

Pokee-Isaac 28B has the larger documented context window: 10M, compared with 1M.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence30 rows

Agentic

  • Terminal-Bench 2.1

    Gemini 3.7 Flash85.8%
    Source
    Pokee-Isaac 28B65.1%
    Source

    Gemini 3.7 Flash leads this result

  • Terminal-Bench 3.0

    Gemini 3.7 Flash14.9%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • AutomationBench

    Gemini 3.7 Flash30.4%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • OSWorld 2.0

    Gemini 3.7 Flash47.9%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • Agents' Last Exam

    Gemini 3.7 Flash26.3%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    Gemini 3.7 Flash77.5%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • ApprenticeBench

    Gemini 3.7 Flash16%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • BFCL v4

    Gemini 3.7 Flash—
    Pokee-Isaac 28B70.9%
    Source

    Not directly comparable

  • τ³-bench results

    Gemini 3.7 Flash—
    Pokee-Isaac 28B66.2%
    Source

    Not directly comparable

  • MCP-Atlas claim coverage

    Gemini 3.7 Flash—
    Pokee-Isaac 28B74.6%
    Source

    Not directly comparable

  • PinchBench

    Gemini 3.7 Flash—
    Pokee-Isaac 28B95.7%
    Source

    Not directly comparable

Coding

  • FrontierCode 1.1 Main

    Gemini 3.7 Flash43.6%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • DeepSWE

    Gemini 3.7 Flash65.3%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • Terminal-Bench 2.1

    Gemini 3.7 Flash85.8%
    Source
    Pokee-Isaac 28B65.1%
    Source

    Gemini 3.7 Flash leads this result

  • FrontierSWE v2

    Gemini 3.7 Flash20.3%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • LiveCodeBench (Vals)

    Gemini 3.7 Flash88.7%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • SWE-bench (Vals)

    Gemini 3.7 Flash80.8%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

Reasoning

  • MRCR v2 64K-128K

    Gemini 3.7 Flash97%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • ARC-AGI-1

    Gemini 3.7 Flash95.50%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • ARC-AGI-2

    Gemini 3.7 Flash84.6%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • MRCRv2

    Gemini 3.7 Flash—
    Pokee-Isaac 28B60.7%
    Source

    Not directly comparable

Multimodal

  • CharXiv w/o tools

    Gemini 3.7 Flash84.5%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • CharXiv

    Gemini 3.7 Flash88.7%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • LVBench

    Gemini 3.7 Flash85.4%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

Knowledge

  • HLE-Verified

    Gemini 3.7 Flash53.6%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • LABBench2

    Gemini 3.7 Flash82.1%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • BioMysteryBench (human-solvable)

    Gemini 3.7 Flash87.1%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • BioMysteryBench (human-difficult)

    Gemini 3.7 Flash43.5%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • GPQA Diamond (Vals)

    Gemini 3.7 Flash93.9%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

  • MMLU-Pro (Vals)

    Gemini 3.7 Flash90.1%
    Source
    Pokee-Isaac 28B—

    Not directly comparable

30 public results · 2 shared

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Last updated September 27, 2026