Long documents
Prompts that approach the documented context limit
Solar Pro 4
Solar Pro 4 has the larger documented context window.
Confidence: documented
Qwen3.5 397B vs Solar Pro 4
Updated October 25, 2026. We do not rank this pair: at least one has no public score. Public scores include evidence status and uncertainty.
Share or export
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. 5 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.
- Shared results
- 5
- Qwen3.5 397B only
- 57
- Solar Pro 4 only
- 5
- Like-for-like categories
- 0 / 8
Estimated: Qwen3.5 397B. 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.
Chat turn cost
1K fresh input + 500 output tokens
Solar Pro 4
Solar Pro 4 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Show secondary and unsupported calls
Repository review cost
50K fresh input + 3K output tokens
Solar Pro 4
Solar Pro 4 has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-ratesCoding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Qwen3.5 397B and Solar Pro 4 are not ranked on the public lane for coding, so no winner is named for coding.
Confidence: limitedAgentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Solar Pro 4 is not ranked on the public lane for agentic, so no winner is named for agentic.
Confidence: limitedCache-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. Qwen3.5 397B does not fit this workload in one request. Qwen3.5 397B has no published cached-input rate, so cached tokens use its listed input rate.
Confidence: rate-fallback
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.
—Qwen3.5 397B—Solar Pro 4
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.
57 Qwen3.5 397B only
5 Shared
5 Solar Pro 4 only
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.
BrowseCompAgentic
Normalized gap 19.8Qwen3.5 397B:69%Solar Pro 4:49.2%SWE-bench VerifiedCoding
Normalized gap 5.6Qwen3.5 397B:76.2%Solar Pro 4:70.6%AIME26Math
Normalized gap 2.0Qwen3.5 397B:93.3%Solar Pro 4:95.3%MMLU-ProKnowledge
Normalized gap 1.5Qwen3.5 397B:87.8%Solar Pro 4:86.3%
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
Not comparable- Qwen3.5 397B
- 44.3
- Estimated · #62/132
- Solar Pro 4
- Not ranked
- Basis
- BenchAlign v5.8 lane · 14 vs 4 public rows
- Reading
- Not comparable
Coding
Not comparable- Qwen3.5 397B
- Not ranked
- Solar Pro 4
- Not ranked
- Basis
- BenchAlign v5.8 lane · 6 vs 3 public rows
- Reading
- Not comparable
Reasoning
Not comparable- Qwen3.5 397B
- 74.1
- Unranked · 2 rankable rows
- Solar Pro 4
- Not ranked
- Basis
- Provisional lane · 1 vs 0 weighted rows
- Reading
- Not comparable
Multimodal
Not comparable- Qwen3.5 397B
- 73.4
- #29/56
- Solar Pro 4
- Not ranked
- Basis
- Provisional lane · 2 vs 0 weighted rows
- Reading
- Not comparable
Knowledge
Not comparable- Qwen3.5 397B
- 52.7
- Estimated · #70/187
- Solar Pro 4
- Not ranked
- Basis
- BenchAlign v5.8 lane · 6 vs 2 public rows
- Reading
- Not comparable
Multilingual
Not comparable- Qwen3.5 397B
- 93.8
- #5/17
- Solar Pro 4
- Not ranked
- Basis
- Provisional lane · 1 vs 0 weighted rows
- Reading
- Not comparable
Instruction following
Not comparable- Qwen3.5 397B
- 79.9
- #61/153
- Solar Pro 4
- Not ranked
- Basis
- Provisional lane · 1 vs 0 weighted rows
- Reading
- Not comparable
Math
Not comparable- Qwen3.5 397B
- 81.7
- Unranked · 5 rankable rows
- Solar Pro 4
- Not ranked
- Basis
- Provisional lane · 2 vs 1 weighted rows
- Reading
- Not comparable
| Category | Qwen3.5 397B | Solar Pro 4 | Basis | Reading |
|---|---|---|---|---|
| Agentic | 44.3Estimated · #62/132 | Not ranked | Not comparableBenchAlign v5.8 lane · 14 vs 4 public rows | Not comparable |
| Coding | Not ranked | Not ranked | Not comparableBenchAlign v5.8 lane · 6 vs 3 public rows | Not comparable |
| Reasoning | 74.1Unranked · 2 rankable rows | Not ranked | Not comparableProvisional lane · 1 vs 0 weighted rows | Not comparable |
| Multimodal | 73.4#29/56 | Not ranked | Not comparableProvisional lane · 2 vs 0 weighted rows | Not comparable |
| Knowledge | 52.7Estimated · #70/187 | Not ranked | Not comparableBenchAlign v5.8 lane · 6 vs 2 public rows | Not comparable |
| Multilingual | 93.8#5/17 | Not ranked | Not comparableProvisional lane · 1 vs 0 weighted rows | Not comparable |
| Instruction following | 79.9#61/153 | Not ranked | Not comparableProvisional lane · 1 vs 0 weighted rows | Not comparable |
| Math | 81.7Unranked · 5 rankable rows | Not ranked | Not comparableProvisional lane · 2 vs 1 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.
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
- Qwen3.5 397B
- $0.0024
- Fits in one request
- Solar Pro 4
- $0.0009
- Fits in one request
Solar Pro 4 has the lower modeled cost
Costs use the listed standard API rates.
Repository review
50K fresh input + 3K output tokens
- Qwen3.5 397B
- $0.0408
- Fits in one request
- Solar Pro 4
- $0.0186
- Fits in one request
Solar Pro 4 has the lower modeled cost
Costs use the listed standard API rates.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Qwen3.5 397B
- $0.168
- Does not fit in one request
- Cached input priced at the published list-input rate
- Solar Pro 4
- $0.03
- Fits in one request
Qwen3.5 397B does not fit this workload in one request. Qwen3.5 397B has no published cached-input rate, so cached tokens use its listed input 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.
SpecificationQwen3.5 397BSolar Pro 4
Context window
Maximum documented context; output-token limits may be lower.
Qwen3.5 397B
128K
Solar Pro 4
API model ID
Qwen3.5 397B
Not sourced
Solar Pro 4
solar-pro4
Upstage Solar Pro 4 launch postCached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Qwen3.5 397B
Not published
Solar Pro 4
$0.06 per 1M cached input tokens
Upstage Solar Pro 4 launch postDocumented inputs
Qwen3.5 397B
Not sourced
Solar Pro 4
Not sourced
Documented outputs
Qwen3.5 397B
Not sourced
Solar Pro 4
Not sourced
Provider availability
Qwen3.5 397B
Not sourced
Solar Pro 4
Not sourced
Reasoning profile
Qwen3.5 397B
Non-Reasoning
Solar Pro 4
Reasoning
Weight access
Qwen3.5 397B
Open Weight
Solar Pro 4
Proprietary
License
Qwen3.5 397B
Open Weight
Solar Pro 4
Proprietary
Release date
Qwen3.5 397B
2026-02-16
Solar Pro 4
2026-08-11
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
- Repository review: $0.0408 vs $0.0186. Cache-heavy agent loop: $0.168 vs $0.03.
- Context tradeoff
- Solar Pro 4 has the larger documented window (512K).
Run the same representative tasks against both endpoints before changing production traffic.
Questions
Which is better, Qwen3.5 397B or Solar Pro 4?
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, Qwen3.5 397B or Solar Pro 4?
Qwen3.5 397B and Solar Pro 4 are not ranked on the public lane for coding, so no winner is named for coding.
Which is better for agentic tasks, Qwen3.5 397B or Solar Pro 4?
Solar Pro 4 is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.
Which costs less, Qwen3.5 397B or Solar Pro 4?
For the stated presets, chat costs $0.0024 on Qwen3.5 397B and $0.0009 on Solar Pro 4; repository review costs $0.0408 and $0.0186; the cache-heavy agent loop costs $0.168 and $0.03. Qwen3.5 397B does not fit this workload in one request. Qwen3.5 397B has no published cached-input rate, so cached tokens use its listed input rate.
Which has the larger context window, Qwen3.5 397B or Solar Pro 4?
Solar Pro 4 has the larger documented context window: 512K, compared with 128K.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence67 rows
Agentic
Terminal-Bench 2.0
Qwen3.5 397B52.5%SourceSolar Pro 4—Not directly comparable
BrowseComp
Qwen3.5 397B69%SourceSolar Pro 449.2%SourceQwen3.5 397B leads this result
OSWorld-Verified
Qwen3.5 397B62.2%SourceSolar Pro 4—Not directly comparable
Claw-Eval
Qwen3.5 397B56.8%SourceSolar Pro 4—Not directly comparable
QwenClawBench
Qwen3.5 397B51.8%SourceSolar Pro 4—Not directly comparable
τ³-bench results
Qwen3.5 397B68.4%SourceSolar Pro 4—Not directly comparable
VITA-Bench
Qwen3.5 397B43.7%SourceSolar Pro 4—Not directly comparable
DeepPlanning
Qwen3.5 397B37.6%SourceSolar Pro 4—Not directly comparable
Toolathlon
Qwen3.5 397B36.3%SourceSolar Pro 4—Not directly comparable
MCP Atlas
Qwen3.5 397B46.1%SourceSolar Pro 461.4%SourceSolar Pro 4 leads this result
MCP-Tasks
Qwen3.5 397B74.2%SourceSolar Pro 4—Not directly comparable
WideResearch
Qwen3.5 397B74.0%SourceSolar Pro 4—Not directly comparable
Gert Labs
Qwen3.5 397B46.76%SourceSolar Pro 4—Not directly comparable
ResearchClawBench
Qwen3.5 397B14.2%SourceSolar Pro 4—Not directly comparable
Terminal-Bench 2.1
Qwen3.5 397B—Solar Pro 457.0%SourceNot directly comparable
APEX-Agents
Qwen3.5 397B—Solar Pro 418.7%SourceNot directly comparable
Coding
SWE-bench Verified
Qwen3.5 397B76.2%SourceSolar Pro 470.6%SourceQwen3.5 397B leads this result
LiveCodeBench v6
Qwen3.5 397B83.6%SourceSolar Pro 4—Not directly comparable
SWE-bench Pro
Qwen3.5 397B50.9%SourceSolar Pro 4—Not directly comparable
SWE Multilingual
Qwen3.5 397B69.3%SourceSolar Pro 4—Not directly comparable
NL2Repo
Qwen3.5 397B32.2%SourceSolar Pro 4—Not directly comparable
Terminal-Bench 2.0
Qwen3.5 397B52.5%SourceSolar Pro 4—Not directly comparable
Terminal-Bench 2.1
Qwen3.5 397B—Solar Pro 457.0%SourceNot directly comparable
LiveCodeBench
Qwen3.5 397B—Solar Pro 487.8%SourceNot directly comparable
Reasoning
Multimodal
MMMU
Qwen3.5 397B85.0%SourceSolar Pro 4—Not directly comparable
MMMU-Pro
Qwen3.5 397B79%SourceSolar Pro 4—Not directly comparable
RealWorldQA
Qwen3.5 397B83.9%SourceSolar Pro 4—Not directly comparable
OmniDocBench 1.5
Qwen3.5 397B90.8%SourceSolar Pro 4—Not directly comparable
Video-MME (with subtitle)
Qwen3.5 397B87.5%SourceSolar Pro 4—Not directly comparable
Video-MME (w/o subtitle)
Qwen3.5 397B83.7%SourceSolar Pro 4—Not directly comparable
MathVision
Qwen3.5 397B88.6%SourceSolar Pro 4—Not directly comparable
We-Math
Qwen3.5 397B87.9%SourceSolar Pro 4—Not directly comparable
DynaMath
Qwen3.5 397B86.3%SourceSolar Pro 4—Not directly comparable
SimpleVQA
Qwen3.5 397B67.1%SourceSolar Pro 4—Not directly comparable
CharXiv
Qwen3.5 397B80.8%SourceSolar Pro 4—Not directly comparable
MMLongBench-Doc
Qwen3.5 397B61.5%SourceSolar Pro 4—Not directly comparable
CC-OCR
Qwen3.5 397B82.0%SourceSolar Pro 4—Not directly comparable
AI2D_TEST
Qwen3.5 397B93.9%SourceSolar Pro 4—Not directly comparable
CountBench
Qwen3.5 397B97.2%SourceSolar Pro 4—Not directly comparable
RefCOCO (avg)
Qwen3.5 397B92.3%SourceSolar Pro 4—Not directly comparable
ODINW13
Qwen3.5 397B47.0%SourceSolar Pro 4—Not directly comparable
ERQA
Qwen3.5 397B67.5%SourceSolar Pro 4—Not directly comparable
VideoMMMU
Qwen3.5 397B84.7%SourceSolar Pro 4—Not directly comparable
MLVU (M-Avg)
Qwen3.5 397B86.7%SourceSolar Pro 4—Not directly comparable
ScreenSpot Pro
Qwen3.5 397B65.6%SourceSolar Pro 4—Not directly comparable
V*
Qwen3.5 397B95.8%SourceSolar Pro 4—Not directly comparable
Knowledge
GPQA
Qwen3.5 397B88.4%SourceSolar Pro 4—Not directly comparable
SuperGPQA
Qwen3.5 397B70.4%SourceSolar Pro 4—Not directly comparable
MMLU-Pro
Qwen3.5 397B87.8%SourceSolar Pro 486.3%SourceQwen3.5 397B leads this result
MMLU-Redux
Qwen3.5 397B94.9%SourceSolar Pro 4—Not directly comparable
C-Eval
Qwen3.5 397B93%SourceSolar Pro 4—Not directly comparable
HLE
Qwen3.5 397B28.7%SourceSolar Pro 4—Not directly comparable
GPQA-D
Qwen3.5 397B—Solar Pro 489.0%SourceNot directly comparable
Multilingual
MMLU-ProX
Qwen3.5 397B84.7%SourceSolar Pro 4—Not directly comparable
NOVA-63
Qwen3.5 397B59.1%SourceSolar Pro 4—Not directly comparable
INCLUDE
Qwen3.5 397B85.6%SourceSolar Pro 4—Not directly comparable
PolyMath
Qwen3.5 397B73.3%SourceSolar Pro 4—Not directly comparable
MAXIFE
Qwen3.5 397B88.2%SourceSolar Pro 4—Not directly comparable
Instruction following
Math
AIME26
Qwen3.5 397B93.3%SourceSolar Pro 495.3%SourceSolar Pro 4 leads this result
HMMT Feb 2025
Qwen3.5 397B94.8%SourceSolar Pro 4—Not directly comparable
HMMT Nov 2025
Qwen3.5 397B92.7%SourceSolar Pro 4—Not directly comparable
HMMT Feb 2026
Qwen3.5 397B87.9%SourceSolar Pro 4—Not directly comparable
MMAnswerBench
Qwen3.5 397B80.9%SourceSolar Pro 4—Not directly comparable
67 public results · 5 shared
Watch Qwen3.5 397B vs Solar Pro 4
One weekly email when material rank, price, or benchmark evidence changes make this matchup worth revisiting.
Read a sample issueJoin 6,100+ subscribers.
Last updated October 25, 2026