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dots3-note Preview vs Solar Pro 3

Updated October 25, 2026. Rank says dots3-note Preview is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

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Decision reading

dots3-note Preview has the higher public point estimate, 63.82 versus 30.03. Their conditional score ranges do not overlap. These ranges do not establish rank confidence. 1 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A

Dots Studio

63.82/100

Estimated · Public rank #41

Conditional range 49.5–78.2

Model B
Upstage logo

Upstage

30.03/100

Estimated · Public rank #181

Conditional range 15.7–44.4

Shared results
1
dots3-note Preview only
30
Solar Pro 3 only
0
Like-for-like categories
1 / 8
Estimated: dots3-note Preview and Solar Pro 3. Conditional ranges do not establish rank confidence.How 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

    dots3-note Preview

    dots3-note Preview 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

    Dots3-note Preview and Solar Pro 3 are 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

    Solar Pro 3 is not ranked on the public lane for agentic, so no winner is named for agentic.

    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. Solar Pro 3 does not fit this workload in one request. Solar Pro 3 has no published cached-input rate, so cached tokens use its listed input rate. dots3-note Preview has no comparable published API token rate.

    Confidence: rate-fallback
  • 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

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.

—dots3-note Preview—Solar Pro 3

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.

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.

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.

Bars run 0–100 on each benchmark’s normalized display scale

Category results, on a stated basis

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.

Instruction following

Like-for-like
dots3-note Preview
89.1
#34/153
Solar Pro 3
87.1
#42/153
Basis
Provisional lane · 1 vs 1 weighted rows
Reading
dots3-note Preview leads

Agentic

Not comparable
dots3-note Preview
59.3
Estimated · #30/132
Solar Pro 3
Not ranked
Basis
BenchAlign v5.8 lane · 9 vs 0 public rows
Reading
Not comparable

Coding

Not comparable
dots3-note Preview
Not ranked
Solar Pro 3
Not ranked
Basis
BenchAlign v5.8 lane · 7 vs 0 public rows
Reading
Not comparable

Reasoning

Not comparable
dots3-note Preview
76.6
Unranked · 1 rankable row
Solar Pro 3
47.2
Unranked · 2 rankable rows
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
dots3-note Preview
79.9
Unranked · 10 rankable rows
Solar Pro 3
Not ranked
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Knowledge

Not comparable
dots3-note Preview
Not ranked
Solar Pro 3
30.0
Estimated · #156/187
Basis
BenchAlign v5.8 lane · 1 vs 0 public rows
Reading
Not comparable

Multilingual

Not comparable
dots3-note Preview
Not ranked
Solar Pro 3
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
dots3-note Preview
Not ranked
Solar Pro 3
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 v5.8) 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.

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

dots3-note Preview
Self-hosted; infrastructure cost varies
Fits in one request
Solar Pro 3
$0.00045
Fits in one request

dots3-note Preview has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

dots3-note Preview
Self-hosted; infrastructure cost varies
Fits in one request
Solar Pro 3
$0.0093
Fits in one request

dots3-note Preview has no comparable published API token rate.

Cache-heavy agent loop

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

dots3-note Preview
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable
Solar Pro 3
$0.039
Does not fit in one request
Cached input priced at the published list-input rate

Solar Pro 3 does not fit this workload in one request. Solar Pro 3 has no published cached-input rate, so cached tokens use its listed input rate. dots3-note Preview has no comparable published API token 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.

Documented inputs

dots3-note Preview

Not sourced

Solar Pro 3

Not sourced

Documented outputs

dots3-note Preview

Not sourced

Solar Pro 3

Not sourced

Provider availability

dots3-note Preview

Not sourced

Solar Pro 3

Not sourced

Reasoning profile

dots3-note Preview

Reasoning

Solar Pro 3

Reasoning

Weight access

dots3-note Preview

Open Weight

Solar Pro 3

Proprietary

License

dots3-note Preview

Open Weight

Solar Pro 3

Proprietary

Release date

dots3-note Preview

2026-08-14

Solar Pro 3

2026-01-26

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
dots3-note Preview has the higher public point estimate, 63.82 versus 30.03. Their conditional score ranges do not overlap. These ranges do not establish rank confidence.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
dots3-note Preview has the larger documented window (512K).
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, dots3-note Preview or Solar Pro 3?

dots3-note Preview has the higher public point estimate, 63.82 versus 30.03. Their conditional score ranges do not overlap. These ranges do not establish rank confidence. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, dots3-note Preview or Solar Pro 3?

Dots3-note Preview and Solar Pro 3 are not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, dots3-note Preview or Solar Pro 3?

Solar Pro 3 is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, dots3-note Preview or Solar Pro 3?

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, dots3-note Preview or Solar Pro 3?

dots3-note Preview has the larger documented context window: 512K, compared with 128K.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

dots3-note Preview
API / mo$0
Self-host / mo$13,981
Break-even—
Solar Pro 3
API / mo$563
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Model the full break-even

Benchmark evidence

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

Browse raw public benchmark evidence31 rows

Agentic

  • Claw-Eval

    dots3-note Preview73.4%
    Source
    Solar Pro 3—

    Not directly comparable

  • Terminal-Bench 2.1

    dots3-note Preview75.1%
    Source
    Solar Pro 3—

    Not directly comparable

  • Toolathlon-Verified

    dots3-note Preview55.6%
    Source
    Solar Pro 3—

    Not directly comparable

  • skillsBench

    dots3-note Preview52.8%
    Source
    Solar Pro 3—

    Not directly comparable

  • APEX-Agents

    dots3-note Preview30.8%
    Source
    Solar Pro 3—

    Not directly comparable

  • BrowseComp

    dots3-note Preview83.3%
    Source
    Solar Pro 3—

    Not directly comparable

  • HLE w/ tools

    dots3-note Preview52.6%
    Source
    Solar Pro 3—

    Not directly comparable

  • DeepSearchQA

    dots3-note Preview92.1%
    Source
    Solar Pro 3—

    Not directly comparable

  • WideResearch

    dots3-note Preview78.9%
    Source
    Solar Pro 3—

    Not directly comparable

Coding

  • Codeforces

    dots3-note Preview3056.0
    Source
    Solar Pro 3—

    Not directly comparable

  • LiveCodeBench v6

    dots3-note Preview91.5%
    Source
    Solar Pro 3—

    Not directly comparable

  • Terminal-Bench 2.1

    dots3-note Preview75.1%
    Source
    Solar Pro 3—

    Not directly comparable

  • SWE-bench Verified

    dots3-note Preview78.4%
    Source
    Solar Pro 3—

    Not directly comparable

  • SWE Multilingual

    dots3-note Preview75.7%
    Source
    Solar Pro 3—

    Not directly comparable

  • SWE-bench Pro

    dots3-note Preview61%
    Source
    Solar Pro 3—

    Not directly comparable

  • NL2Repo

    dots3-note Preview49.8%
    Source
    Solar Pro 3—

    Not directly comparable

Reasoning

  • ARC-AGI-2

    dots3-note Preview81.4%
    Source
    Solar Pro 3—

    Not directly comparable

Multimodal

  • SimpleVQA

    dots3-note Preview72.5%
    Source
    Solar Pro 3—

    Not directly comparable

  • MMMU-Pro

    dots3-note Preview79.1%
    Source
    Solar Pro 3—

    Not directly comparable

  • MathVision

    dots3-note Preview87.7%
    Source
    Solar Pro 3—

    Not directly comparable

  • ZeroBench

    dots3-note Preview19.0%
    Source
    Solar Pro 3—

    Not directly comparable

  • CharXiv w/o tools

    dots3-note Preview83.1%
    Source
    Solar Pro 3—

    Not directly comparable

  • GDP.pdf (no tools)

    dots3-note Preview60.7%
    Source
    Solar Pro 3—

    Not directly comparable

  • PerceptionBench

    dots3-note Preview53.4%
    Source
    Solar Pro 3—

    Not directly comparable

  • BabyVision

    dots3-note Preview50.0%
    Source
    Solar Pro 3—

    Not directly comparable

  • MMVU

    dots3-note Preview79.9%
    Source
    Solar Pro 3—

    Not directly comparable

  • VideoMMMU

    dots3-note Preview86.8%
    Source
    Solar Pro 3—

    Not directly comparable

Knowledge

  • HLE

    dots3-note Preview52.6%
    Source
    Solar Pro 3—

    Not directly comparable

Instruction following

  • IFBench

    dots3-note Preview80.4%
    Source
    Solar Pro 355.8%
    Source

    dots3-note Preview leads this result

  • IFEval

    dots3-note Preview93.9%
    Source
    Solar Pro 3—

    Not directly comparable

Math

  • IMOAnswerBench

    dots3-note Preview90.9%
    Source
    Solar Pro 3—

    Not directly comparable

31 public results · 1 shared

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Last updated October 25, 2026