Multimodal
Like-for-like- Gemini 3.5 Flash
- 83.8
- Qwen3.6 Plus
- 79.8
- Weighted basis
- 2 vs 2 rows
- Reading
- Gemini 3.5 Flash leads
Gemini 3.5 Flash vs Qwen3.6 Plus
Updated August 18, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
Qwen3.6 Plus has the higher public score estimate, 64.79 versus 64.67, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
13 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
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
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.
Confidence: limited
Long documents
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Confidence: documented
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.
10 Gemini 3.5 Flash only
13 Shared
31 Qwen3.6 Plus only
- Shared results
- 13
- Gemini 3.5 Flash only
- 10
- Qwen3.6 Plus only
- 31
- Like-for-like categories
- 1 / 8
4 categories use different evidence sets. Those rows remain visible for coverage context but do not name a winner.
Category results, on a stated basis
Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.
Agentic
Directional only- Gemini 3.5 Flash
- 77.2
- Qwen3.6 Plus
- 61.6
- Weighted basis
- 2 vs 1 rows
- Reading
- Directional only
Coding
Directional only- Gemini 3.5 Flash
- 55.1
- Qwen3.6 Plus
- 70.3
- Weighted basis
- 1 vs 2 rows
- Reading
- Directional only
Knowledge
Directional only- Gemini 3.5 Flash
- 40.2
- Qwen3.6 Plus
- 57.1
- Weighted basis
- 1 vs 4 rows
- Reading
- Directional only
Math
Directional only- Gemini 3.5 Flash
- 32.9
- Qwen3.6 Plus
- 60.5
- Weighted basis
- 2 vs 4 rows
- Reading
- Directional only
Reasoning
Not comparable- Gemini 3.5 Flash
- 74.7
- Qwen3.6 Plus
- 62.0
- Weighted basis
- 2 vs 1 rows
- Reading
- Not comparable
Multilingual
Not comparable- Gemini 3.5 Flash
- Not measured
- Qwen3.6 Plus
- 84.7
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Instruction following
Not comparable- Gemini 3.5 Flash
- Not measured
- Qwen3.6 Plus
- 82.3
- Weighted basis
- 0 vs 2 rows
- Reading
- Not comparable
| Category | Gemini 3.5 Flash | Qwen3.6 Plus | Weighted basis | Reading |
|---|---|---|---|---|
| Multimodal | 83.8 | 79.8 | Like-for-like2 vs 2 rows | Gemini 3.5 Flash leads |
| Agentic | 77.2 | 61.6 | Directional only2 vs 1 rows | Directional only |
| Coding | 55.1 | 70.3 | Directional only1 vs 2 rows | Directional only |
| Knowledge | 40.2 | 57.1 | Directional only1 vs 4 rows | Directional only |
| Math | 32.9 | 60.5 | Directional only2 vs 4 rows | Directional only |
| Reasoning | 74.7 | 62.0 | Not comparable2 vs 1 rows | Not comparable |
| Multilingual | Not measured | 84.7 | Not comparable0 vs 1 rows | Not comparable |
| Instruction following | Not measured | 82.3 | Not comparable0 vs 2 rows | Not comparable |
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.
Terminal-Bench 2.0
Agentic
Gemini 3.5 Flash: 76.2%Qwen3.6 Plus: 61.6%Normalized gap 14.6Gemini 3.5 Flash source Qwen3.6 Plus sourceFrontierMath v2 (Tiers 1-3)
Math
HLE
Knowledge
Gemini 3.5 Flash: 40.2%Qwen3.6 Plus: 28.8%Normalized gap 11.4Gemini 3.5 Flash source Qwen3.6 Plus sourceFrontierMath v2 (Tier 4)
Math
MMMU-Pro
Multimodal
Gemini 3.5 Flash: 83.6%Qwen3.6 Plus: 78.8%Normalized gap 4.8Gemini 3.5 Flash source Qwen3.6 Plus 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
- Gemini 3.5 Flash
- $0.006
- Fits in one request
- Qwen3.6 Plus
- API rate not published
- Fits in one request
Qwen3.6 Plus has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Gemini 3.5 Flash
- $0.102
- Fits in one request
- Qwen3.6 Plus
- API rate not published
- Fits in one request
Qwen3.6 Plus has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Gemini 3.5 Flash
- $0.15
- Fits in one request
- Qwen3.6 Plus
- API rate not published
- Fits in one request
- Cached-input rate unavailable
Qwen3.6 Plus 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.
SpecificationGemini 3.5 FlashQwen3.6 Plus
Context window
Maximum documented context; output-token limits may be lower.
Gemini 3.5 Flash
Qwen3.6 Plus
1M
API model ID
Gemini 3.5 Flash
gemini-3.5-flash
Google Gemini API pricingQwen3.6 Plus
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Gemini 3.5 Flash
$0.15 per 1M cached input tokens
Google Gemini API pricingQwen3.6 Plus
No comparable hosted API rate
Documented inputs
Gemini 3.5 Flash
Not sourced
Qwen3.6 Plus
Not sourced
Documented outputs
Gemini 3.5 Flash
Not sourced
Qwen3.6 Plus
Not sourced
Provider availability
Gemini 3.5 Flash
Not sourced
Qwen3.6 Plus
Not sourced
Reasoning profile
Gemini 3.5 Flash
Reasoning
Qwen3.6 Plus
Reasoning
Weight access
Gemini 3.5 Flash
Proprietary
Qwen3.6 Plus
Proprietary
License
Gemini 3.5 Flash
Proprietary
Qwen3.6 Plus
Proprietary
Release date
Gemini 3.5 Flash
2026-05-19
Qwen3.6 Plus
2026-04-02
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
- Qwen3.6 Plus has the higher public score estimate, 64.79 versus 64.67, but the 90% score intervals overlap.
- 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.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence54 rows
Agentic
Terminal-Bench 2.0
Gemini 3.5 Flash76.2%SourceQwen3.6 Plus61.6%SourceGemini 3.5 Flash leads this result
MCP Atlas
Gemini 3.5 Flash83.6%SourceQwen3.6 Plus48.2%SourceGemini 3.5 Flash leads this result
Toolathlon
Gemini 3.5 Flash56.5%SourceQwen3.6 Plus39.8%SourceGemini 3.5 Flash leads this result
OSWorld-Verified
Gemini 3.5 Flash78.4%SourceQwen3.6 Plus—Not directly comparable
Finance Agent v2
Gemini 3.5 Flash57.9%SourceQwen3.6 Plus—Not directly comparable
Gert Labs
Shared sourceGemini 3.5 Flash61.85%Qwen3.6 Plus50.60%Gemini 3.5 Flash leads this result
ResearchClawBench
Shared sourceGemini 3.5 Flash18.0%Qwen3.6 Plus18.0%Tie
Claw-Eval
Gemini 3.5 Flash—Qwen3.6 Plus58.8%SourceNot directly comparable
QwenClawBench
Gemini 3.5 Flash—Qwen3.6 Plus57.2%SourceNot directly comparable
τ³-bench results
Gemini 3.5 Flash—Qwen3.6 Plus70.7%SourceNot directly comparable
VITA-Bench
Gemini 3.5 Flash—Qwen3.6 Plus44.3%SourceNot directly comparable
DeepPlanning
Gemini 3.5 Flash—Qwen3.6 Plus41.5%SourceNot directly comparable
MCP-Tasks
Gemini 3.5 Flash—Qwen3.6 Plus74.1%SourceNot directly comparable
WideResearch
Gemini 3.5 Flash—Qwen3.6 Plus74.3%SourceNot directly comparable
Coding
Terminal-Bench 2.0
Gemini 3.5 Flash76.2%SourceQwen3.6 Plus—Not directly comparable
SWE-bench Pro
Gemini 3.5 Flash55.1%SourceQwen3.6 Plus56.6%SourceQwen3.6 Plus leads this result
Vibe Code Bench
Shared sourceGemini 3.5 Flash48.68%Qwen3.6 Plus25.56%Gemini 3.5 Flash leads this result
cursorBench31
Gemini 3.5 Flash49.8%SourceQwen3.6 Plus—Not directly comparable
cursorBench32
Gemini 3.5 Flash48.8%SourceQwen3.6 Plus—Not directly comparable
EEBench
Shared sourceGemini 3.5 Flash34.3%Qwen3.6 Plus12.7%Gemini 3.5 Flash leads this result
SWE-bench Verified
Gemini 3.5 Flash—Qwen3.6 Plus78.8%SourceNot directly comparable
SWE Multilingual
Gemini 3.5 Flash—Qwen3.6 Plus73.8%SourceNot directly comparable
LiveCodeBench v6
Gemini 3.5 Flash—Qwen3.6 Plus87.1%SourceNot directly comparable
Reasoning
MRCRv2
Gemini 3.5 Flash77.3%SourceQwen3.6 Plus—Not directly comparable
MRCR 1M
Gemini 3.5 Flash26.6%SourceQwen3.6 Plus—Not directly comparable
ARC-AGI-2
Gemini 3.5 Flash72.1%SourceQwen3.6 Plus—Not directly comparable
AI-Needle
Gemini 3.5 Flash—Qwen3.6 Plus68.3%SourceNot directly comparable
LongBench v2
Gemini 3.5 Flash—Qwen3.6 Plus62%SourceNot directly comparable
Knowledge
GPQA-D
Gemini 3.5 Flash92.7%SourceQwen3.6 Plus—Not directly comparable
HLE
Gemini 3.5 Flash40.2%SourceQwen3.6 Plus28.8%SourceGemini 3.5 Flash leads this result
GPQA
Gemini 3.5 Flash—Qwen3.6 Plus90.4%SourceNot directly comparable
SuperGPQA
Gemini 3.5 Flash—Qwen3.6 Plus71.6%SourceNot directly comparable
MMLU-Pro
Gemini 3.5 Flash—Qwen3.6 Plus88.5%SourceNot directly comparable
MMLU-Redux
Gemini 3.5 Flash—Qwen3.6 Plus94.5%SourceNot directly comparable
C-Eval
Gemini 3.5 Flash—Qwen3.6 Plus93.3%SourceNot directly comparable
Math
FrontierMath v2 (Tiers 1-3)
Shared sourceGemini 3.5 Flash38.966%Qwen3.6 Plus26.207%Gemini 3.5 Flash leads this result
FrontierMath v2 (Tier 4)
Shared sourceGemini 3.5 Flash14.583%Qwen3.6 Plus8.333%Gemini 3.5 Flash leads this result
AIME26
Gemini 3.5 Flash—Qwen3.6 Plus95.3%SourceNot directly comparable
HMMT Feb 2025
Gemini 3.5 Flash—Qwen3.6 Plus96.7%SourceNot directly comparable
HMMT Nov 2025
Gemini 3.5 Flash—Qwen3.6 Plus94.6%SourceNot directly comparable
HMMT Feb 2026
Gemini 3.5 Flash—Qwen3.6 Plus87.8%SourceNot directly comparable
MMAnswerBench
Gemini 3.5 Flash—Qwen3.6 Plus83.8%SourceNot directly comparable
Multilingual
Multimodal
CharXiv
Gemini 3.5 Flash84.2%SourceQwen3.6 Plus81.5%SourceGemini 3.5 Flash leads this result
MMMU-Pro
Gemini 3.5 Flash83.6%SourceQwen3.6 Plus78.8%SourceGemini 3.5 Flash leads this result
Blueprint-Bench 2
Gemini 3.5 Flash33.6%SourceQwen3.6 Plus—Not directly comparable
MMMU
Gemini 3.5 Flash—Qwen3.6 Plus86.0%SourceNot directly comparable
MathVision
Gemini 3.5 Flash—Qwen3.6 Plus88.0%SourceNot directly comparable
VideoMMMU
Gemini 3.5 Flash—Qwen3.6 Plus84.0%SourceNot directly comparable
ScreenSpot Pro
Gemini 3.5 Flash—Qwen3.6 Plus68.2%SourceNot directly comparable
V*
Gemini 3.5 Flash—Qwen3.6 Plus96.9%SourceNot directly comparable
Instruction following
Frequently asked questions
Which is better, Gemini 3.5 Flash or Qwen3.6 Plus?
Qwen3.6 Plus has the higher public score estimate, 64.79 versus 64.67, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
Which is better for coding, Gemini 3.5 Flash or Qwen3.6 Plus?
The current coding averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.
Which is better for agentic tasks, Gemini 3.5 Flash or Qwen3.6 Plus?
The current agentic tasks averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.
Which costs less, Gemini 3.5 Flash or Qwen3.6 Plus?
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, Gemini 3.5 Flash or Qwen3.6 Plus?
Both models list the same context window, 1M.
Related comparisons
Last updated August 18, 2026
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