Agentic
Not comparable- Claude Sonnet 5
- 65.8
- Supported · #11/152
- K-EXAONE 2.0
- Not ranked
- Basis
- BenchAlign lane · 6 vs 2 public rows
- Reading
- Not comparable
Claude Sonnet 5 vs K-EXAONE 2.0
Updated September 10, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
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.
Share or export
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 Sonnet 5
Claude Sonnet 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 2.0 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
K-EXAONE 2.0 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
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
22 Claude Sonnet 5 only
2 Shared
13 K-EXAONE 2.0 only
- Shared results
- 2
- Claude Sonnet 5 only
- 22
- K-EXAONE 2.0 only
- 13
- Like-for-like categories
- 0 / 8
Category results, on a stated basis
Each row shows the public-lane category score for both models: the BenchAlign 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
Not comparable- Claude Sonnet 5
- 64.0
- Supported · #13/151
- K-EXAONE 2.0
- Not ranked
- Basis
- BenchAlign lane · 10 vs 3 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Claude Sonnet 5
- 77.4
- Unranked · 2 rankable rows
- K-EXAONE 2.0
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Knowledge
Not comparable- Claude Sonnet 5
- 66.6
- Supported · #20/183
- K-EXAONE 2.0
- Not ranked
- Basis
- BenchAlign lane · 6 vs 4 public rows
- Reading
- Not comparable
Math
Not comparable- Claude Sonnet 5
- Not ranked
- K-EXAONE 2.0
- Not ranked
- Basis
- Provisional lane · 0 vs 2 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Claude Sonnet 5
- Not ranked
- K-EXAONE 2.0
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Claude Sonnet 5
- 77.5
- #13/48
- K-EXAONE 2.0
- Not ranked
- Basis
- Provisional lane · 1 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- Claude Sonnet 5
- Not ranked
- K-EXAONE 2.0
- Not ranked
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
| Category | Claude Sonnet 5 | K-EXAONE 2.0 | Basis | Reading |
|---|---|---|---|---|
| Agentic | 65.8Supported · #11/152 | Not ranked | Not comparableBenchAlign lane · 6 vs 2 public rows | Not comparable |
| Coding | 64.0Supported · #13/151 | Not ranked | Not comparableBenchAlign lane · 10 vs 3 public rows | Not comparable |
| Reasoning | 77.4Unranked · 2 rankable rows | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Knowledge | 66.6Supported · #20/183 | Not ranked | Not comparableBenchAlign lane · 6 vs 4 public rows | Not comparable |
| Math | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 2 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | 77.5#13/48 | Not ranked | Not comparableProvisional lane · 1 vs 0 weighted rows | Not comparable |
| Instruction following | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.
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.
HLE
Knowledge
Claude Sonnet 5: 57.4%K-EXAONE 2.0: 18.3%Normalized gap 39.1Claude Sonnet 5 source K-EXAONE 2.0 sourceSWE-bench Verified
Coding
Claude Sonnet 5: 85.2%K-EXAONE 2.0: 68.2%Normalized gap 17.0Claude Sonnet 5 source K-EXAONE 2.0 source
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 Sonnet 5
- $0.007
- Fits in one request
- K-EXAONE 2.0
- Self-hosted; infrastructure cost varies
- Fits in one request
K-EXAONE 2.0 has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Claude Sonnet 5
- $0.13
- Fits in one request
- K-EXAONE 2.0
- Self-hosted; infrastructure cost varies
- Fits in one request
K-EXAONE 2.0 has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Claude Sonnet 5
- $0.18
- Fits in one request
- K-EXAONE 2.0
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
K-EXAONE 2.0 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.
SpecificationClaude Sonnet 5K-EXAONE 2.0
Context window
Maximum documented context; output-token limits may be lower.
Claude Sonnet 5
K-EXAONE 2.0
API model ID
Claude Sonnet 5
claude-sonnet-5
Anthropic model overviewK-EXAONE 2.0
LGAI-EXAONE/K-EXAONE-2.0-750B-A37B
LG AI Research K-EXAONE 2.0 model cardCached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Claude Sonnet 5
$0.2 per 1M cached input tokens
Claude API pricingK-EXAONE 2.0
No comparable hosted API rate
LG AI Research K-EXAONE 2.0 model cardDocumented inputs
Claude Sonnet 5
text, image
Anthropic model overviewK-EXAONE 2.0
Not sourced
Documented outputs
Claude Sonnet 5
K-EXAONE 2.0
Not sourced
Provider availability
Claude Sonnet 5
Generally Available · Claude API
Anthropic model overviewK-EXAONE 2.0
Not sourced
Reasoning profile
Claude Sonnet 5
Reasoning
K-EXAONE 2.0
Reasoning
Weight access
Claude Sonnet 5
Proprietary
K-EXAONE 2.0
Open Weight
License
Claude Sonnet 5
Proprietary
K-EXAONE 2.0
Open Weight
Release date
Claude Sonnet 5
2026-06-30
K-EXAONE 2.0
2026-07-31
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
- 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
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Claude Sonnet 5 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 evidence37 rows
Agentic
Terminal-Bench 3.0
Claude Sonnet 514.6%SourceK-EXAONE 2.0—Not directly comparable
Terminal-Bench 2.0
Claude Sonnet 580.4%SourceK-EXAONE 2.0—Not directly comparable
BrowseComp
Claude Sonnet 584.7%SourceK-EXAONE 2.0—Not directly comparable
HLE w/ tools
Claude Sonnet 557.4%SourceK-EXAONE 2.0—Not directly comparable
OSWorld-Verified
Claude Sonnet 581.2%SourceK-EXAONE 2.0—Not directly comparable
Terminal-Bench 2.1 (Vals)
Claude Sonnet 574.5%SourceK-EXAONE 2.0—Not directly comparable
Terminal-Bench 2.1
Claude Sonnet 5—K-EXAONE 2.043.8%SourceNot directly comparable
Claw-Eval
Claude Sonnet 5—K-EXAONE 2.077.7%SourceNot directly comparable
Coding
SWE-bench Verified
Claude Sonnet 585.2%SourceK-EXAONE 2.068.2%SourceClaude Sonnet 5 leads this result
SWE-bench Pro
Claude Sonnet 563.2%SourceK-EXAONE 2.0—Not directly comparable
SWE Multilingual
Claude Sonnet 578.3%SourceK-EXAONE 2.0—Not directly comparable
SWE Multimodal
Claude Sonnet 528.1%SourceK-EXAONE 2.0—Not directly comparable
Terminal-Bench 2.0
Claude Sonnet 580.4%SourceK-EXAONE 2.0—Not directly comparable
FrontierCode 1.1 Main
Claude Sonnet 542.7%SourceK-EXAONE 2.0—Not directly comparable
cursorBench32
Claude Sonnet 561.5%SourceK-EXAONE 2.0—Not directly comparable
VulcanBench CII v1
Claude Sonnet 589.2%SourceK-EXAONE 2.0—Not directly comparable
LiveCodeBench (Vals)
Claude Sonnet 582.4%SourceK-EXAONE 2.0—Not directly comparable
SWE-bench (Vals)
Claude Sonnet 579.6%SourceK-EXAONE 2.0—Not directly comparable
SciCode
Claude Sonnet 5—K-EXAONE 2.037.4%SourceNot directly comparable
Terminal-Bench 2.1
Claude Sonnet 5—K-EXAONE 2.043.8%SourceNot directly comparable
Knowledge
HLE
Claude Sonnet 557.4%SourceK-EXAONE 2.018.3%SourceClaude Sonnet 5 leads this result
HLE w/o tools
Claude Sonnet 543.2%SourceK-EXAONE 2.0—Not directly comparable
HLE-Verified
Claude Sonnet 531.0%SourceK-EXAONE 2.0—Not directly comparable
LABBench2
Claude Sonnet 580.1%SourceK-EXAONE 2.0—Not directly comparable
GPQA Diamond (Vals)
Claude Sonnet 588.9%SourceK-EXAONE 2.0—Not directly comparable
MMLU-Pro (Vals)
Claude Sonnet 587.5%SourceK-EXAONE 2.0—Not directly comparable
MMLU-Pro
Claude Sonnet 5—K-EXAONE 2.083.5%SourceNot directly comparable
GPQA-D
Claude Sonnet 5—K-EXAONE 2.082.2%SourceNot directly comparable
MMMLU
Claude Sonnet 5—K-EXAONE 2.086.6%SourceNot directly comparable
Math
Multilingual
PolyMath
Claude Sonnet 5—K-EXAONE 2.071.3%SourceNot directly comparable
Multimodal
Instruction following
Frequently asked questions
Which is better, Claude Sonnet 5 or K-EXAONE 2.0?
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, Claude Sonnet 5 or K-EXAONE 2.0?
K-EXAONE 2.0 is not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, Claude Sonnet 5 or K-EXAONE 2.0?
K-EXAONE 2.0 is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, Claude Sonnet 5 or K-EXAONE 2.0?
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 Sonnet 5 or K-EXAONE 2.0?
Claude Sonnet 5 has the larger documented context window: 1M, compared with 262K.
Related comparisons
Last updated September 10, 2026
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