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Thinking Machines Lab logo
Model A
Inkling

Thinking Machines Lab

67.02/100

Supported · Public rank #31

90% interval 60.0–74.0

Inkling vs MiniCPM5-1B

Updated August 29, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

OpenBMB logo
Model B
MiniCPM5-1B

OpenBMB

11.4/100

Estimated · Public rank #230

90% interval 1.5–21.3

Decision reading

Inkling has the higher public score, 67.02 versus 11.4, and the 90% score intervals do not overlap.

3 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.

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

    Inkling

    Inkling has the larger documented context window.

    Confidence: documented

Show secondary and unsupported calls
  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Chat turn cost

    1K fresh input + 500 output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

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

    Not enough matched evidence

    The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. MiniCPM5-1B does not fit this workload in one request. MiniCPM5-1B has no comparable published API token rate.

    Confidence: listed-rates

  • Repository review cost

    50K fresh input + 3K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

What is actually comparable

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

Shared results
3
Inkling only
12
MiniCPM5-1B only
11
Like-for-like categories
0 / 8

2 categories use different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

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.

Math

Directional only
Inkling
97.1
MiniCPM5-1B
33.1
Weighted basis
1 vs 2 rows
Reading
Directional only

Instruction following

Directional only
Inkling
79.8
MiniCPM5-1B
58.5
Weighted basis
1 vs 2 rows
Reading
Directional only

Agentic

Not comparable
Inkling
69.4
MiniCPM5-1B
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Coding

Not comparable
Inkling
68.6
MiniCPM5-1B
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Reasoning

Not comparable
Inkling
Not measured
MiniCPM5-1B
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
Inkling
51.6
MiniCPM5-1B
44.0
Weighted basis
2 vs 2 rows
Reading
Not comparable

Multilingual

Not comparable
Inkling
Not measured
MiniCPM5-1B
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Inkling
76.5
MiniCPM5-1B
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

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.

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.

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

Inkling
$0.00421
Fits in one request
MiniCPM5-1B
API rate not published
Fits in one request

MiniCPM5-1B has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Inkling
$0.10754
Fits in one request
MiniCPM5-1B
API rate not published
Fits in one request

MiniCPM5-1B has no comparable published API token rate.

Cache-heavy agent loop

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

Inkling
$0.159
Fits in one request
MiniCPM5-1B
API rate not published
Does not fit in one request
Cached-input rate unavailable

MiniCPM5-1B does not fit this workload in one request. MiniCPM5-1B has no comparable published API token rate.

Specification differences

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

Context window

Maximum documented context; output-token limits may be lower.

Inkling

1M

MiniCPM5-1B

131K

API model ID

Inkling

Not sourced

MiniCPM5-1B

Not sourced

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Inkling

$0.374 per 1M cached input tokens

MiniCPM5-1B

No comparable hosted API rate

Documented inputs

Inkling

Not sourced

MiniCPM5-1B

Not sourced

Documented outputs

Inkling

Not sourced

MiniCPM5-1B

Not sourced

Provider availability

Inkling

Not sourced

MiniCPM5-1B

Not sourced

Reasoning profile

Inkling

Hybrid

MiniCPM5-1B

Reasoning

Weight access

Inkling

Open Weight

MiniCPM5-1B

Open Weight

License

Inkling

Open Weight

MiniCPM5-1B

Open Weight

Release date

Inkling

2026-07-15

MiniCPM5-1B

2026-05-25

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
Inkling has the higher public score, 67.02 versus 11.4, and the 90% score intervals do not overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Inkling has the larger documented window (1M).

Run the same representative tasks against both endpoints before changing production traffic.

Benchmark evidence

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

Browse raw public benchmark evidence26 rows

Agentic

  • Terminal-Bench 2.0

    Inkling63.8%
    Source
    MiniCPM5-1B

    Not directly comparable

  • BrowseComp

    Inkling77.1%
    Source
    MiniCPM5-1B

    Not directly comparable

  • MCP Atlas

    Inkling74.1%
    Source
    MiniCPM5-1B

    Not directly comparable

  • BFCL v4

    Inkling
    MiniCPM5-1B25.1%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Inkling77.6%
    Source
    MiniCPM5-1B

    Not directly comparable

  • SWE-bench Pro

    Inkling54.3%
    Source
    MiniCPM5-1B

    Not directly comparable

  • Terminal-Bench 2.0

    Inkling63.8%
    Source
    MiniCPM5-1B

    Not directly comparable

  • LiveCodeBench Pro

    Inkling
    MiniCPM5-1B22.7%
    Source

    Not directly comparable

  • LiveCodeBench v6

    Inkling
    MiniCPM5-1B33.5%
    Source

    Not directly comparable

Reasoning

  • BBH

    Inkling
    MiniCPM5-1B71.9%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Inkling87.9%
    Source
    MiniCPM5-1B

    Not directly comparable

  • GPQA-D

    Inkling87.9%
    Source
    MiniCPM5-1B26.3%
    Source

    Inkling leads this result

  • HLE

    Inkling46%
    Source
    MiniCPM5-1B

    Not directly comparable

  • HLE w/o tools

    Inkling30%
    Source
    MiniCPM5-1B

    Not directly comparable

  • MMLU-Pro

    Inkling
    MiniCPM5-1B48.9%
    Source

    Not directly comparable

  • MMLU-Redux

    Inkling
    MiniCPM5-1B70.1%
    Source

    Not directly comparable

  • SuperGPQA

    Inkling
    MiniCPM5-1B23.1%
    Source

    Not directly comparable

Math

  • AIME26

    Inkling97.1%
    Source
    MiniCPM5-1B40.4%
    Source

    Inkling leads this result

  • AIME 2025

    Inkling
    MiniCPM5-1B40.4%
    Source

    Not directly comparable

  • HMMT Feb 2026

    Inkling
    MiniCPM5-1B25.8%
    Source

    Not directly comparable

  • MATH-500

    Inkling
    MiniCPM5-1B91.6%
    Source

    Not directly comparable

Multimodal

  • MMMU-Pro

    Inkling73.5%
    Source
    MiniCPM5-1B

    Not directly comparable

  • CharXiv

    Inkling82%
    Source
    MiniCPM5-1B

    Not directly comparable

  • CharXiv w/o tools

    Inkling78.1%
    Source
    MiniCPM5-1B

    Not directly comparable

Instruction following

  • IFBench

    Inkling79.8%
    Source
    MiniCPM5-1B46.7%
    Source

    Inkling leads this result

  • IFEval

    Inkling
    MiniCPM5-1B80.4%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Inkling or MiniCPM5-1B?

Inkling has the higher public score, 67.02 versus 11.4, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.

Which is better for coding, Inkling or MiniCPM5-1B?

The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.

Which is better for agentic tasks, Inkling or MiniCPM5-1B?

The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.

Which costs less, Inkling or MiniCPM5-1B?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, Inkling or MiniCPM5-1B?

Inkling has the larger documented context window: 1M, compared with 131K.

Related comparisons

Last updated August 29, 2026

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