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Data

Claude Opus 5 vs K-Exaone

Updated October 20, 2026. Rank says Claude Opus 5 is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

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Decision reading

Claude Opus 5 has the higher public point estimate, 80.11 versus 37.48. 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
Anthropic logo
Claude Opus 5

Anthropic

80.11/100

Supported · Public rank #8

90% interval 77.2–83.0

Model B
LG AI Research logo
K-Exaone

LG AI Research

37.48/100

Estimated · Public rank #148

Conditional range 23.1–51.8

Shared results
1
Claude Opus 5 only
79
K-Exaone only
0
Like-for-like categories
0 / 8
Supported: Claude Opus 5 · Estimated: K-Exaone. 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

    Claude Opus 5

    Claude Opus 5 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

    K-Exaone is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.

    Confidence: limited

  • Agentic work

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

    Not enough matched evidence

    K-Exaone 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

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

    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

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.

70.8Claude Opus 522.9K-Exaone

Directional only · BenchAlign v5.8

Claude Opus 5 has the higher coding point estimate. Conditional score ranges do not establish rank confidence.

Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.

Open the coding leaderboardShortlist models for this job
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.

2 categories rest on Estimated evidence or different evidence sets. Those rows remain visible for coverage context but do not name a winner.

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.

Coding

Directional only
Claude Opus 5
70.8
Supported · #9/152
K-Exaone
22.9
Estimated · #114/152
Basis
BenchAlign v5.8 lane · 18 vs 1 public rows
Reading
Directional only

Knowledge

Directional only
Claude Opus 5
82.3
Supported · #7/187
K-Exaone
36.0
Estimated · #133/187
Basis
BenchAlign v5.8 lane · 19 vs 0 public rows
Reading
Directional only

Agentic

Not comparable
Claude Opus 5
78.4
Supported · #4/131
K-Exaone
Not ranked
Basis
BenchAlign v5.8 lane · 21 vs 0 public rows
Reading
Not comparable

Reasoning

Not comparable
Claude Opus 5
81.0
#8/27
K-Exaone
67.1
Unranked · 2 rankable rows
Basis
Provisional lane · 2 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Claude Opus 5
92.2
#2/55
K-Exaone
Not ranked
Basis
Provisional lane · 1 vs 0 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Claude Opus 5
Not ranked
K-Exaone
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Claude Opus 5
Not ranked
K-Exaone
78.7
Unranked · 1 rankable row
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Math

Not comparable
Claude Opus 5
91.6
Unranked · 7 rankable rows
K-Exaone
Not ranked
Basis
Provisional lane · 2 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.

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

Claude Opus 5
$0.0175
Fits in one request
K-Exaone
API rate not published
Fits in one request

K-Exaone has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Claude Opus 5
$0.325
Fits in one request
K-Exaone
API rate not published
Fits in one request

K-Exaone has no comparable published API token rate.

Cache-heavy agent loop

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

Claude Opus 5
$0.45
Fits in one request
K-Exaone
API rate not published
Fits in one request
Cached-input rate unavailable

K-Exaone 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.

Context window

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

Claude Opus 5

1M

Anthropic model overview

K-Exaone

256K

Cached-input rate

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

Claude Opus 5

$0.5 per 1M cached input tokens

Claude API pricing

K-Exaone

No comparable hosted API rate

Reasoning profile

Claude Opus 5

Reasoning

K-Exaone

Reasoning

Weight access

Claude Opus 5

Proprietary

K-Exaone

Proprietary

License

Claude Opus 5

Proprietary

K-Exaone

Proprietary

Release date

Claude Opus 5

2026-07-24

K-Exaone

2025-12-31

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
Claude Opus 5 has the higher public point estimate, 80.11 versus 37.48. 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
Claude Opus 5 has the larger documented window (1M).
Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Claude Opus 5 or K-Exaone?

Claude Opus 5 has the higher public point estimate, 80.11 versus 37.48. 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, Claude Opus 5 or K-Exaone?

Claude Opus 5 scores higher for coding on the public lane, 70.8 to 22.9. K-Exaone is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, Claude Opus 5 or K-Exaone?

K-Exaone is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Claude Opus 5 or K-Exaone?

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, Claude Opus 5 or K-Exaone?

Claude Opus 5 has the larger documented context window: 1M, compared with 256K.

Benchmark evidence

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

Browse raw public benchmark evidence80 rows

Agentic

  • Terminal-Bench 3.0

    Claude Opus 542.7%
    Source
    K-Exaone—

    Not directly comparable

  • BrowseComp

    Claude Opus 590.8%
    Source
    K-Exaone—

    Not directly comparable

  • HLE w/ tools

    Claude Opus 564.7%
    Source
    K-Exaone—

    Not directly comparable

  • DeepSearchQA

    Claude Opus 595.0%
    Source
    K-Exaone—

    Not directly comparable

  • DRACO

    Claude Opus 588.6%
    Source
    K-Exaone—

    Not directly comparable

  • BrowseComp (10-agent, prerelease)

    Claude Opus 593.6%
    Source
    K-Exaone—

    Not directly comparable

  • OSWorld 2.0

    Claude Opus 570.6%
    Source
    K-Exaone—

    Not directly comparable

  • MCP Atlas

    Claude Opus 585.8%
    Source
    K-Exaone—

    Not directly comparable

  • MCP-Atlas claim coverage

    Claude Opus 589.1%
    Source
    K-Exaone—

    Not directly comparable

  • LAB all-pass (Anthropic harness)

    Claude Opus 523.58%
    Source
    K-Exaone—

    Not directly comparable

  • LAB criterion-pass (Anthropic harness)

    Claude Opus 593.74%
    Source
    K-Exaone—

    Not directly comparable

  • LAB all-pass (Harvey held-out)

    Claude Opus 511.7%
    Source
    K-Exaone—

    Not directly comparable

  • LAB criterion-pass (Harvey held-out)

    Claude Opus 594.1%
    Source
    K-Exaone—

    Not directly comparable

  • Toolathlon-Verified

    Claude Opus 580.6%
    Source
    K-Exaone—

    Not directly comparable

  • Toolathlon Verified Pass@3

    Claude Opus 587.0%
    Source
    K-Exaone—

    Not directly comparable

  • Toolathlon Verified Pass³

    Claude Opus 573.1%
    Source
    K-Exaone—

    Not directly comparable

  • Toolathlon Verified avg. turns

    Claude Opus 523.5 turns
    Source
    K-Exaone—

    Not directly comparable

  • AutomationBench

    Claude Opus 526.0%
    Source
    K-Exaone—

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    Claude Opus 584.6%
    Source
    K-Exaone—

    Not directly comparable

  • ApprenticeBench

    Claude Opus 536%
    Source
    K-Exaone—

    Not directly comparable

  • MazeBench

    Claude Opus 512%
    Source
    K-Exaone—

    Not directly comparable

Coding

  • Bug Hunt Bench

    Claude Opus 527.0 fixes
    Source
    K-Exaone—

    Not directly comparable

  • SWE-bench Verified

    Claude Opus 596%
    Source
    K-Exaone49.4%
    Source

    Claude Opus 5 leads this result

  • SWE-bench Pro

    Claude Opus 579.2%
    Source
    K-Exaone—

    Not directly comparable

  • SWE Multilingual

    Claude Opus 589.5%
    Source
    K-Exaone—

    Not directly comparable

  • SWE Multimodal

    Claude Opus 559.4%
    Source
    K-Exaone—

    Not directly comparable

  • DeepSWE

    Claude Opus 568.8%
    Source
    K-Exaone—

    Not directly comparable

  • FrontierCode 1.1 Main

    Claude Opus 553.4%
    Source
    K-Exaone—

    Not directly comparable

  • FrontierCode 1.1 Extended

    Claude Opus 563.6%
    Source
    K-Exaone—

    Not directly comparable

  • FrontierSWE v2

    Claude Opus 552.0%
    Source
    K-Exaone—

    Not directly comparable

  • ProgramBench (episode 1)

    Claude Opus 583.0%
    Source
    K-Exaone—

    Not directly comparable

  • ProgramBench

    Claude Opus 593.0%
    Source
    K-Exaone—

    Not directly comparable

  • CursorBench 3.2

    Claude Opus 570.0%
    Source
    K-Exaone—

    Not directly comparable

  • VulcanBench v3

    Claude Opus 587.0%
    Source
    K-Exaone—

    Not directly comparable

  • VulcanBench CII v1

    Claude Opus 596.4%
    Source
    K-Exaone—

    Not directly comparable

  • LiveCodeBench (Vals)

    Claude Opus 589.0%
    Source
    K-Exaone—

    Not directly comparable

  • SWE-bench (Vals)

    Claude Opus 597.0%
    Source
    K-Exaone—

    Not directly comparable

  • CursorBench 4.0

    Claude Opus 546.6%
    Source
    K-Exaone—

    Not directly comparable

  • PostTrainBench v1.1

    Claude Opus 535.0%
    Source
    K-Exaone—

    Not directly comparable

Reasoning

  • ARC-AGI-1

    Claude Opus 597.50%
    Source
    K-Exaone—

    Not directly comparable

  • ARC-AGI-2

    Claude Opus 590.4%
    Source
    K-Exaone—

    Not directly comparable

  • ARC-AGI-3

    Claude Opus 530.2%
    Source
    K-Exaone—

    Not directly comparable

Multimodal

  • Chartography (no tools)

    Claude Opus 529.6%
    Source
    K-Exaone—

    Not directly comparable

  • Chartography (tools)

    Claude Opus 583.0%
    Source
    K-Exaone—

    Not directly comparable

  • BenchCAD Vision2Code (no tools)

    Claude Opus 50.366
    Source
    K-Exaone—

    Not directly comparable

  • BenchCAD Vision2Code (tools)

    Claude Opus 50.821
    Source
    K-Exaone—

    Not directly comparable

  • GDP.pdf (no tools)

    Claude Opus 583.4%
    Source
    K-Exaone—

    Not directly comparable

  • GDP.pdf (tools)

    Claude Opus 585.5%
    Source
    K-Exaone—

    Not directly comparable

  • OfficeQA

    Claude Opus 578.1%
    Source
    K-Exaone—

    Not directly comparable

  • OfficeQA Pro

    Claude Opus 566.9%
    Source
    K-Exaone—

    Not directly comparable

Knowledge

  • HLE

    Claude Opus 564.7%
    Source
    K-Exaone—

    Not directly comparable

  • HLE w/o tools

    Claude Opus 556.3%
    Source
    K-Exaone—

    Not directly comparable

  • HLE-Verified

    Claude Opus 554.4%
    Source
    K-Exaone—

    Not directly comparable

  • LABBench2

    Claude Opus 584.2%
    Source
    K-Exaone—

    Not directly comparable

  • HealthBench (raw)

    Claude Opus 567.1%
    Source
    K-Exaone—

    Not directly comparable

  • HealthBench (length-adjusted)

    Claude Opus 557.8%
    Source
    K-Exaone—

    Not directly comparable

  • HealthBench Professional

    Claude Opus 559.8%
    Source
    K-Exaone—

    Not directly comparable

  • HealthBench Professional (raw)

    Claude Opus 573.4%
    Source
    K-Exaone—

    Not directly comparable

  • BioMysteryBench (human-solvable)

    Claude Opus 590.1%
    Source
    K-Exaone—

    Not directly comparable

  • BioMysteryBench (human-difficult)

    Claude Opus 549.4%
    Source
    K-Exaone—

    Not directly comparable

  • SpatialBench Verified

    Claude Opus 572.5%
    Source
    K-Exaone—

    Not directly comparable

  • SingleCellBench

    Claude Opus 560.6%
    Source
    K-Exaone—

    Not directly comparable

  • ProteinGym Hard

    Claude Opus 547.7%
    Source
    K-Exaone—

    Not directly comparable

  • Protein Design

    Claude Opus 542.5%
    Source
    K-Exaone—

    Not directly comparable

  • Organic chemistry V2

    Claude Opus 561.6%
    Source
    K-Exaone—

    Not directly comparable

  • Protocols (troubleshooting)

    Claude Opus 561.1%
    Source
    K-Exaone—

    Not directly comparable

  • Protocols (understanding)

    Claude Opus 578.4%
    Source
    K-Exaone—

    Not directly comparable

  • GPQA Diamond (Vals)

    Claude Opus 593.4%
    Source
    K-Exaone—

    Not directly comparable

  • MMLU-Pro (Vals)

    Claude Opus 591.6%
    Source
    K-Exaone—

    Not directly comparable

Multilingual

  • GMMLU

    Claude Opus 592.5%
    Source
    K-Exaone—

    Not directly comparable

  • MILU

    Claude Opus 592.1%
    Source
    K-Exaone—

    Not directly comparable

  • INCLUDE

    Claude Opus 589.8%
    Source
    K-Exaone—

    Not directly comparable

Instruction following

  • Gray Swan IPI (15 attempts)

    Claude Opus 54.6%
    Source
    K-Exaone—

    Not directly comparable

Math

  • IMO 2026

    Claude Opus 542/42
    Source
    K-Exaone—

    Not directly comparable

  • RiemannBench (no tools)

    Claude Opus 560.0%
    Source
    K-Exaone—

    Not directly comparable

  • RiemannBench (tools)

    Claude Opus 579.0%
    Source
    K-Exaone—

    Not directly comparable

  • ArXivMath Jun. 2026 (no tools)

    Claude Opus 590.8%
    Source
    K-Exaone—

    Not directly comparable

  • ArXivMath Jun. 2026 (tools)

    Claude Opus 591.3%
    Source
    K-Exaone—

    Not directly comparable

  • FrontierMath v2 (Tiers 1-3)

    Claude Opus 585.614%
    Source
    K-Exaone—

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    Claude Opus 573.171%
    Source
    K-Exaone—

    Not directly comparable

80 public results · 1 shared

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Last updated October 20, 2026