Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Spark-X2.6-4B is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.
Confidence: limited
Claude Sonnet 5.5 vs Spark-X2.6-4B
Updated October 20, 2026. Rank says Claude Sonnet 5.5 is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.
Share or export
Decision reading
Claude Sonnet 5.5 has the higher public point estimate, 82.25 versus 40.14. Their conditional score ranges do not overlap. These ranges do not establish rank confidence. 4 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
- Shared results
- 4
- Claude Sonnet 5.5 only
- 52
- Spark-X2.6-4B only
- 16
- Like-for-like categories
- 0 / 8
Supported: Claude Sonnet 5.5 · Estimated: Spark-X2.6-4B. 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.
No workload recommendation clears the current evidence threshold.
Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.
Show secondary and unsupported calls
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Spark-X2.6-4B is scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.
Confidence: limitedLong documents
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Confidence: documentedChat 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-ratesCache-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-ratesRepository 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.
84.3Claude Sonnet 5.530.6Spark-X2.6-4B
Directional only · BenchAlign v5.8
Claude Sonnet 5.5 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.
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.
52 Claude Sonnet 5.5 only
4 Shared
16 Spark-X2.6-4B only
3 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.
HLE w/o toolsKnowledge
Normalized gap 39.0Claude Sonnet 5.5:56.9%Spark-X2.6-4B:17.9%SWE-bench ProCoding
Normalized gap 27.0Claude Sonnet 5.5:81.3%Spark-X2.6-4B:54.3%SWE MultilingualCoding
Normalized gap 25.6Claude Sonnet 5.5:90.3%Spark-X2.6-4B:64.7%
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.
Agentic
Directional only- Claude Sonnet 5.5
- 69.1
- Supported · #11/131
- Spark-X2.6-4B
- 33.0
- Estimated · #89/131
- Basis
- BenchAlign v5.8 lane · 14 vs 7 public rows
- Reading
- Directional only
Coding
Directional only- Claude Sonnet 5.5
- 84.3
- Supported · #1/152
- Spark-X2.6-4B
- 30.6
- Estimated · #95/152
- Basis
- BenchAlign v5.8 lane · 10 vs 4 public rows
- Reading
- Directional only
Knowledge
Directional only- Claude Sonnet 5.5
- 82.8
- Supported · #5/187
- Spark-X2.6-4B
- 43.0
- Estimated · #109/187
- Basis
- BenchAlign v5.8 lane · 16 vs 3 public rows
- Reading
- Directional only
Reasoning
Not comparable- Claude Sonnet 5.5
- 81.8
- #6/27
- Spark-X2.6-4B
- 48.8
- Unranked · 2 rankable rows
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Claude Sonnet 5.5
- 86.7
- Unranked · 7 rankable rows
- Spark-X2.6-4B
- Not ranked
- Basis
- Provisional lane · 1 vs 0 weighted rows
- Reading
- Not comparable
Multilingual
Not comparable- Claude Sonnet 5.5
- Not ranked
- Spark-X2.6-4B
- Not ranked
- Basis
- Provisional lane · 0 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- Claude Sonnet 5.5
- Not ranked
- Spark-X2.6-4B
- 78.2
- #62/149
- Basis
- Provisional lane · 0 vs 1 weighted rows
- Reading
- Not comparable
Math
Not comparable- Claude Sonnet 5.5
- 95.2
- Unranked · 4 rankable rows
- Spark-X2.6-4B
- 76.4
- Unranked · 3 rankable rows
- Basis
- Provisional lane · 2 vs 2 weighted rows
- Reading
- Not comparable
| Category | Claude Sonnet 5.5 | Spark-X2.6-4B | Basis | Reading |
|---|---|---|---|---|
| Agentic | 69.1Supported · #11/131 | 33.0Estimated · #89/131 | Directional onlyBenchAlign v5.8 lane · 14 vs 7 public rows | Directional only |
| Coding | 84.3Supported · #1/152 | 30.6Estimated · #95/152 | Directional onlyBenchAlign v5.8 lane · 10 vs 4 public rows | Directional only |
| Knowledge | 82.8Supported · #5/187 | 43.0Estimated · #109/187 | Directional onlyBenchAlign v5.8 lane · 16 vs 3 public rows | Directional only |
| Reasoning | 81.8#6/27 | 48.8Unranked · 2 rankable rows | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
| Multimodal | 86.7Unranked · 7 rankable rows | Not ranked | Not comparableProvisional lane · 1 vs 0 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Instruction following | Not ranked | 78.2#62/149 | Not comparableProvisional lane · 0 vs 1 weighted rows | Not comparable |
| Math | 95.2Unranked · 4 rankable rows | 76.4Unranked · 3 rankable rows | Not comparableProvisional lane · 2 vs 2 weighted rows | 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 Sonnet 5.5
- $0.007
- Fits in one request
- Spark-X2.6-4B
- Self-hosted; infrastructure cost varies
- Fits in one request
Spark-X2.6-4B has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Claude Sonnet 5.5
- $0.13
- Fits in one request
- Spark-X2.6-4B
- Self-hosted; infrastructure cost varies
- Fits in one request
Spark-X2.6-4B has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Claude Sonnet 5.5
- $0.16
- Fits in one request
- Spark-X2.6-4B
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
Spark-X2.6-4B 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.
SpecificationClaude Sonnet 5.5Spark-X2.6-4B
Context window
Maximum documented context; output-token limits may be lower.
Claude Sonnet 5.5
Spark-X2.6-4B
API model ID
Claude Sonnet 5.5
claude-sonnet-5-5
Anthropic Claude Sonnet 5.5 model documentationSpark-X2.6-4B
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Claude Sonnet 5.5
$0.1 per 1M cached input tokens
Claude API pricingSpark-X2.6-4B
No comparable hosted API rate
SparkLLM Spark-X2.6-4B model cardDocumented inputs
Claude Sonnet 5.5
Spark-X2.6-4B
Documented outputs
Claude Sonnet 5.5
Spark-X2.6-4B
Provider availability
Claude Sonnet 5.5
Generally Available · Claude API, Amazon Bedrock, Google Cloud, Microsoft Foundry, Claude Platform on AWS
Anthropic Claude Sonnet 5.5 model documentationSpark-X2.6-4B
Open Weights · Hugging Face, self-hosted inference
SparkLLM Spark-X2.6-4B model cardReasoning profile
Claude Sonnet 5.5
Reasoning
Spark-X2.6-4B
Reasoning
Weight access
Claude Sonnet 5.5
Proprietary
Spark-X2.6-4B
Open Weight
License
Claude Sonnet 5.5
Proprietary
Spark-X2.6-4B
Open Weight
Release date
Claude Sonnet 5.5
2026-09-28
Spark-X2.6-4B
2026-10-19
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 Sonnet 5.5 has the higher public point estimate, 82.25 versus 40.14. 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
- Both models list 1M.
Run the same representative tasks against both endpoints before changing production traffic.
Questions
Which is better, Claude Sonnet 5.5 or Spark-X2.6-4B?
Claude Sonnet 5.5 has the higher public point estimate, 82.25 versus 40.14. 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 Sonnet 5.5 or Spark-X2.6-4B?
Claude Sonnet 5.5 scores higher for coding on the public lane, 84.3 to 30.6. Spark-X2.6-4B 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 Sonnet 5.5 or Spark-X2.6-4B?
Claude Sonnet 5.5 scores higher for agentic tasks on the public lane, 69.1 to 33. Spark-X2.6-4B is scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.
Which costs less, Claude Sonnet 5.5 or Spark-X2.6-4B?
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 5.5 or Spark-X2.6-4B?
Both models list the same context window, 1M.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
Claude Sonnet 5.5
API / mo$9,000
Self-host / moNot listed
Break-even—
Proprietary model — self-hosting not applicable.
Spark-X2.6-4B
API / mo$0
Self-host / mo$298
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 evidence72 rows
Agentic
Terminal-Bench 4.0
Claude Sonnet 5.570.60%SourceSpark-X2.6-4B—Not directly comparable
HLE w/ tools
Claude Sonnet 5.564.5%SourceSpark-X2.6-4B36.9%SourceClaude Sonnet 5.5 leads this result
DRACO
Claude Sonnet 5.587.0%SourceSpark-X2.6-4B—Not directly comparable
Terminal-Bench-Science 0.1
Claude Sonnet 5.559.9%SourceSpark-X2.6-4B—Not directly comparable
LAB all-pass (Harvey held-out)
Claude Sonnet 5.510.0%SourceSpark-X2.6-4B—Not directly comparable
LAB criterion-pass (Harvey held-out)
Claude Sonnet 5.593.1%SourceSpark-X2.6-4B—Not directly comparable
Toolathlon Verified Pass@3
Claude Sonnet 5.585.2%SourceSpark-X2.6-4B—Not directly comparable
Toolathlon Verified Pass³
Claude Sonnet 5.568.5%SourceSpark-X2.6-4B—Not directly comparable
Toolathlon Verified avg. turns
Claude Sonnet 5.531.6 turnsSourceSpark-X2.6-4B—Not directly comparable
AutomationBench (Zapier 1.0.6)
Claude Sonnet 5.544.70%SourceSpark-X2.6-4B—Not directly comparable
Toolathlon-Verified
Claude Sonnet 5.577.8%SourceSpark-X2.6-4B—Not directly comparable
Hermes Index
Claude Sonnet 5.553.1%SourceSpark-X2.6-4B—Not directly comparable
Hermes Bench
Claude Sonnet 5.573.5%SourceSpark-X2.6-4B—Not directly comparable
MazeBench
Claude Sonnet 5.58%SourceSpark-X2.6-4B—Not directly comparable
BFCL v4
Claude Sonnet 5.5—Spark-X2.6-4B71.8%SourceNot directly comparable
τ²-bench results
Claude Sonnet 5.5—Spark-X2.6-4B86.9%SourceNot directly comparable
MCP Atlas
Claude Sonnet 5.5—Spark-X2.6-4B62.4%SourceNot directly comparable
BrowseComp
Claude Sonnet 5.5—Spark-X2.6-4B53.1%SourceNot directly comparable
τ³-bench results
Claude Sonnet 5.5—Spark-X2.6-4B34.7%SourceNot directly comparable
Claw-Eval
Claude Sonnet 5.5—Spark-X2.6-4B69.9%SourceNot directly comparable
Coding
FrontierCode 1.1 Main
Claude Sonnet 5.546.2%SourceSpark-X2.6-4B—Not directly comparable
CursorBench 4.0
Claude Sonnet 5.555.5%SourceSpark-X2.6-4B—Not directly comparable
SWE-bench Pro
Claude Sonnet 5.581.3%SourceSpark-X2.6-4B54.3%SourceClaude Sonnet 5.5 leads this result
SWE Multilingual
Claude Sonnet 5.590.3%SourceSpark-X2.6-4B64.7%SourceClaude Sonnet 5.5 leads this result
SWE Multimodal
Claude Sonnet 5.554.3%SourceSpark-X2.6-4B—Not directly comparable
DeepSWE
Claude Sonnet 5.571.0%SourceSpark-X2.6-4B—Not directly comparable
FrontierCode 1.1 Extended
Claude Sonnet 5.559.1%SourceSpark-X2.6-4B—Not directly comparable
ProgramBench
Claude Sonnet 5.579.7%SourceSpark-X2.6-4B—Not directly comparable
FrontierSWE v2
Claude Sonnet 5.561.9%SourceSpark-X2.6-4B—Not directly comparable
Bug Hunt Bench
Claude Sonnet 5.551.3 fixesSourceSpark-X2.6-4B—Not directly comparable
SWE-bench Verified
Claude Sonnet 5.5—Spark-X2.6-4B62.8%SourceNot directly comparable
SciCode
Claude Sonnet 5.5—Spark-X2.6-4B36.8%SourceNot directly comparable
Reasoning
LongBench v2
Claude Sonnet 5.5—Spark-X2.6-4B53.3%SourceNot directly comparable
Multimodal
ExtractBench Pro
Claude Sonnet 5.532%SourceSpark-X2.6-4B—Not directly comparable
ExtractBench (LlamaIndex)
Claude Sonnet 5.594.68%SourceSpark-X2.6-4B—Not directly comparable
ParseBench
Claude Sonnet 5.570.18%SourceSpark-X2.6-4B—Not directly comparable
Chartography (no tools)
Claude Sonnet 5.561.6%SourceSpark-X2.6-4B—Not directly comparable
Chartography (tools)
Claude Sonnet 5.590.2%SourceSpark-X2.6-4B—Not directly comparable
BenchCAD Vision2Code (no tools)
Claude Sonnet 5.50.747SourceSpark-X2.6-4B—Not directly comparable
BenchCAD Vision2Code (tools)
Claude Sonnet 5.50.963SourceSpark-X2.6-4B—Not directly comparable
Biomedical image analysis
Claude Sonnet 5.572.2%SourceSpark-X2.6-4B—Not directly comparable
OfficeQA
Claude Sonnet 5.576.9%SourceSpark-X2.6-4B—Not directly comparable
OfficeQA Pro
Claude Sonnet 5.565.6%SourceSpark-X2.6-4B—Not directly comparable
Knowledge
HealthBench (raw)
Claude Sonnet 5.569.4%SourceSpark-X2.6-4B—Not directly comparable
HealthBench (length-adjusted)
Claude Sonnet 5.565.4%SourceSpark-X2.6-4B—Not directly comparable
HealthBench Professional (raw)
Claude Sonnet 5.577.1%SourceSpark-X2.6-4B—Not directly comparable
HealthBench Professional
Claude Sonnet 5.569.2%SourceSpark-X2.6-4B—Not directly comparable
BioMysteryBench (human-solvable)
Claude Sonnet 5.589.2%SourceSpark-X2.6-4B—Not directly comparable
BioMysteryBench (human-difficult)
Claude Sonnet 5.544.7%SourceSpark-X2.6-4B—Not directly comparable
SpatialBench Verified
Claude Sonnet 5.572.5%SourceSpark-X2.6-4B—Not directly comparable
SingleCellBench
Claude Sonnet 5.559.1%SourceSpark-X2.6-4B—Not directly comparable
Protein Design
Claude Sonnet 5.551.0%SourceSpark-X2.6-4B—Not directly comparable
Morphology-to-molecule matching
Claude Sonnet 5.525.0%SourceSpark-X2.6-4B—Not directly comparable
Medicinal chemistry
Claude Sonnet 5.565.3%SourceSpark-X2.6-4B—Not directly comparable
Protein Design library ranking
Claude Sonnet 5.554.8%SourceSpark-X2.6-4B—Not directly comparable
De novo protein-binder design
Claude Sonnet 5.582.3%SourceSpark-X2.6-4B—Not directly comparable
Protocols (troubleshooting)
Claude Sonnet 5.567.3%SourceSpark-X2.6-4B—Not directly comparable
Protocols (understanding)
Claude Sonnet 5.566.6%SourceSpark-X2.6-4B—Not directly comparable
HLE w/o tools
Claude Sonnet 5.556.9%SourceSpark-X2.6-4B17.9%SourceClaude Sonnet 5.5 leads this result
GPQA-D
Claude Sonnet 5.5—Spark-X2.6-4B77.1%SourceNot directly comparable
GPQA
Claude Sonnet 5.5—Spark-X2.6-4B69.9%SourceNot directly comparable
Multilingual
Instruction following
Math
ArXivMath Aug. 2026 (no tools)
Claude Sonnet 5.586.8%SourceSpark-X2.6-4B—Not directly comparable
ArXivMath Aug. 2026 (tools)
Claude Sonnet 5.595.2%SourceSpark-X2.6-4B—Not directly comparable
FrontierMath v2 (Tiers 1-3)
Claude Sonnet 5.588.772%SourceSpark-X2.6-4B—Not directly comparable
FrontierMath v2 (Tier 4)
Claude Sonnet 5.580.488%SourceSpark-X2.6-4B—Not directly comparable
AIME26
Claude Sonnet 5.5—Spark-X2.6-4B91.2%SourceNot directly comparable
HMMT Feb 2026
Claude Sonnet 5.5—Spark-X2.6-4B81.3%SourceNot directly comparable
IMOAnswerBench
Claude Sonnet 5.5—Spark-X2.6-4B75.2%SourceNot directly comparable
72 public results · 4 shared
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Last updated October 20, 2026