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Data as of October 25, 2026 · How the score is built

Solar Open 2

Decision readingSolar Open 2 is tracked, but not publicly ranked yet. The profile exposes 14 sourced benchmark rows and leaves unsupported fields blank until a published record exists.

Released Jul 22, 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 50Not eligible for a public rank

Price

Self-hosted; infrastructure cost varies

input median $0.75No comparable first-party hosted token rate

Speed

Not measured

field median 96 tok/sTime to first token not measured

Context

1Mtokens

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

14 published rows leave some tracked benchmark slots empty. No comparable first-party API token rate is published.

Source-linked · 14 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%3 benchmarksVerified
Score pending
CodingRank Not rankedWeight 20%2 benchmarksVerified
56.2
ReasoningWeight 17%0 benchmarksNot measured
Not measured
MultimodalWeight 12%0 benchmarksNot measured
Not measured
KnowledgeRank Not rankedWeight 12%3 benchmarksVerified
69.6
MultilingualWeight 7%0 benchmarksNot measured
Not measured
Inst. FollowingRank Not rankedWeight 5%1 benchmarkVerified
88.1
MathRank Not rankedWeight 5%2 benchmarksVerified
87.0

14 of 766 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. Agentic3/3 verified
  2. Coding2/2 verified
  3. ReasoningNot measured
  4. MultimodalNot measured
  5. Knowledge3/3 verified
  6. MultilingualNot measured
  7. Inst. Following1/1 verified
  8. Math2/2 verified
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.

Coding2 rows
Coding benchmark values, best verified comparison, weight, and source status
LiveCodeBench v6Score92.4%Versus best verified row

Best verified: Sakana Fugu-Ultra · 93.2%

Gap0.8 behindWeightDisplay only
SWE-bench VerifiedSoftware Engineering Benchmark VerifiedScore70.4%Versus best verified row

Best verified: Claude Opus 5 · 96%

Gap25.6 behindWeightDisplay only
Agentic3 rows
Agentic benchmark values, best verified comparison, weight, and source status
MCP AtlasScore58.2%Versus best verified row

Best verified: Muse Spark Open · 89.2%

Gap31 behindWeightDisplay only
terminalBenchHardScore28.3%Versus best verified row

Best verified: Solar Open 2 · 28.3%

GapBest verifiedWeightDisplay only
APEX-AgentsScore16.6%Versus best verified row

Best verified: Kimi K3.1 Pro · 67.2%

Gap50.6 behindWeightDisplay only
Knowledge3 rows
Knowledge benchmark values, best verified comparison, weight, and source status
HLE w/o toolsHumanity's Last Exam without toolsScore28.8%Versus best verified row

Best verified: Claude Opus 5.5 · 64.4%

Gap35.6 behindWeightDisplay only
MMLU-ProMassive Multitask Language Understanding ProfessionalScore86.2%Versus best verified row

Best verified: Qwen3.7 Max · 89.6%

Gap3.4 behindWeightDisplay only
GPQA-DGPQA DiamondScore86.3%Versus best verified row

Best verified: GPT-6 Astra · 96.0%

Gap9.7 behindWeightDisplay only
Inst. Following1 row
Inst. Following benchmark values, best verified comparison, weight, and source status
IFBenchInstruction Following BenchmarkScore80%Versus best verified row

Best verified: Flint · 89.2%

Gap9.2 behindWeightDisplay only
Math2 rows
Math benchmark values, best verified comparison, weight, and source status
HMMT Feb 2026Harvard-MIT Mathematics Tournament February 2026Score93.9%Versus best verified row

Best verified: Qwen3.7 Max · 97.1%

Gap3.2 behindWeightDisplay only
AIME26AIME 2026Score95.7%Versus best verified row

Best verified: GLM-5.2 · 99.2%

Gap3.5 behindWeightDisplay only
Korean3 rows
Korean benchmark values, best verified comparison, weight, and source status
KMMLU-ProScore78.4%Versus best verified row

Best verified: A.X K2 · 80.5%

Gap2.1 behindWeightDisplay only
CLIcKCultural and Linguistic Intelligence in KoreanScore90.7%Versus best verified row

Best verified: A.X K2 · 91.6%

Gap0.9 behindWeightDisplay only
HRM8KHAE-RAE Math 8KScore92.2%Versus best verified row

Best verified: Solar Open 2 · 92.2%

GapBest verifiedWeightDisplay only

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

All 14 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. Jul 22, 2026 · you are here

    Solar Open 2

    Not publicly ranked · Price not listed

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
upstage/Solar-Open2-250BUpstage Solar Open 2 model card
Maximum output
Not sourced yet
Knowledge cutoff
Not sourced yet
Input modalities
Not sourced yet
Output modalities
Not sourced yet
Parameters
Not sourced yet
Availability
Upstage publishes the 250B-total, 15B-active hybrid-attention MoE checkpoint on Hugging Face under the Upstage Solar License (an Apache 2.0 derivative that permits commercial use and derivatives) with a 1M-token context window and Korean, English, and Japanese support. Recommended serving is vLLM on 4-8 H200 GPUs.
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 recordUpstage Solar Open 2 model card
Self-host
Solar Open 2 needs ~320GB VRAM (4× NVIDIA H100 (80GB)).
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 Solar Open 2, but the public leaderboard excludes this profile until enough non-generated benchmark coverage is available. Only published rows appear above.

Solar Open 2 is a open weight model with a 1M context window. It uses an explicit reasoning mode, which can improve complex problem solving while adding latency and token use.

Upstage publishes the 250B-total, 15B-active hybrid-attention MoE checkpoint on Hugging Face under the Upstage Solar License (an Apache 2.0 derivative that permits commercial use and derivatives) with a 1M-token context window and Korean, English, and Japanese support. Recommended serving is vLLM on 4-8 H200 GPUs.

14 of 766 tracked benchmark slots currently have displayable evidence. Missing categories stay blank.

Last updated October 25, 2026. Runtime fields remain blank until a sourced snapshot exists.

Deployment options

Self-host and provider-specific paths stay separate from benchmark evidence so operating constraints are visible before a score becomes the whole decision.

Self-host vs API cost

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

Solar Open 2
API / mo$0
Self-host / mo$13,981
Break-even—
Model the full break-even

Questions

How does Solar Open 2 perform overall in AI benchmarks?

Solar Open 2 has 14 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 Solar Open 2 good for knowledge and understanding?

Solar Open 2 has source-displayable benchmark coverage for knowledge and understanding, 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 Solar Open 2 good for coding and programming?

Solar Open 2 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 Solar Open 2 good for mathematics?

Solar Open 2 has source-displayable benchmark coverage for mathematics, 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 Solar Open 2 good for agentic tool use and computer tasks?

Solar Open 2 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.

Is Solar Open 2 good for instruction following?

Solar Open 2 has source-displayable benchmark coverage for instruction following, 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.

How does Solar Open 2 perform on Korean benchmarks?

Solar Open 2 has 3 source-displayable Korean benchmark scores on this profile. Those rows remain separate from the global overall score because regional evaluations use a different comparison set. Use the dedicated Korean tables for side-by-side positions and inspect each source before applying the result elsewhere.

Is Solar Open 2 open source?

Solar Open 2 is an open-weight model from Upstage. Its weights can be downloaded for local or hosted deployment, subject to the published license. Open weight does not automatically mean open source: training data and training code may remain private, and commercial restrictions can still apply.

Does Solar Open 2 have full benchmark coverage on BenchLM?

No. Solar Open 2 currently has 15 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 Solar Open 2?

Solar Open 2 has a documented context window of 1M. 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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