Agentic
Like-for-like- Gemini 3 Flash
- 28.0
- Supported · #139/151
- Qwen3.6-27B
- 33.9
- Supported · #133/151
- Basis
- BenchAlign lane · 4 vs 6 public rows
- Reading
- Qwen3.6-27B leads · intervals overlap
Five or fewer confirmed AI changes, with original sources, on mornings when something changed.A free source-linked morning brief.
See the free Radar BriefUpdated September 4, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
Gemini 3 Flash has the higher public score estimate, 62.96 versus 52.73, but the 90% score intervals overlap. Treat that as a lead, not a settled 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
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.
Code generation, repair, and software-engineering tasks
Gemini 3 Flash
Gemini 3 Flash leads on the public coding lane, 44.2 to 42.6, with Supported evidence for both models, although the 90% intervals overlap.
Confidence: limited
Tool use, computer use, and multi-step task completion
Qwen3.6-27B
Qwen3.6-27B leads on the public agentic lane, 33.9 to 28, with Supported evidence for both models, although the 90% intervals overlap.
Confidence: limited
Prompts that approach the documented context limit
Gemini 3 Flash
Gemini 3 Flash has the larger documented context window.
Confidence: documented
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
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
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
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.
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.
| Category | Gemini 3 Flash | Qwen3.6-27B | Basis | Reading |
|---|---|---|---|---|
| Agentic | 28.0Supported · #139/151 | 33.9Supported · #133/151 | Like-for-likeBenchAlign lane · 4 vs 6 public rows | Qwen3.6-27B leads · intervals overlap |
| Coding | 44.2Supported · #113/183 | 42.6Supported · #128/183 | Like-for-likeBenchAlign lane · 3 vs 6 public rows | Gemini 3 Flash leads · intervals overlap |
| Knowledge | 57.7Supported · #47/181 | 49.0Estimated · #95/181 | Directional onlyBenchAlign lane · 2 vs 6 public rows | Directional only |
| Instruction following | 66.0#66/120 | 82.2#50/120 | Directional onlyProvisional lane · 0 vs 0 weighted rows | Directional only |
| Reasoning | 59.1Unranked · 2 rankable rows | 73.7Unranked · 2 rankable rows | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Math | 50.2Unranked · 2 rankable rows | 72.8Unranked · 5 rankable rows | Not comparableProvisional lane · 2 vs 2 weighted rows | Not comparable |
| Multilingual | Not ranked | Not ranked | Not comparableProvisional lane · 0 vs 0 weighted rows | Not comparable |
| Multimodal | 75.5Unranked · 1 rankable row | 51.5#35/48 | Not comparableProvisional lane · 0 vs 2 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.
Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
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.
1K fresh input + 500 output tokens
Qwen3.6-27B has no comparable published API token rate.
50K fresh input + 3K output tokens
Qwen3.6-27B has no comparable published API token rate.
200K cached + 20K fresh input + 10K output tokens
Qwen3.6-27B has no comparable published API token rate.
Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.
Maximum documented context; output-token limits may be lower.
Gemini 3 Flash
Qwen3.6-27B
262K
Gemini 3 Flash
gemini-3-flash-preview
Google Gemini API pricingQwen3.6-27B
Not sourced
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Gemini 3 Flash
$0.05 per 1M cached input tokens
Google Gemini API pricingQwen3.6-27B
No comparable hosted API rate
Gemini 3 Flash
Not sourced
Qwen3.6-27B
Not sourced
Gemini 3 Flash
Not sourced
Qwen3.6-27B
Not sourced
Gemini 3 Flash
Not sourced
Qwen3.6-27B
Not sourced
Gemini 3 Flash
Non-Reasoning
Qwen3.6-27B
Reasoning
Gemini 3 Flash
Proprietary
Qwen3.6-27B
Open Weight
Gemini 3 Flash
Proprietary
Qwen3.6-27B
Open Weight
Gemini 3 Flash
2025-12-01
Qwen3.6-27B
2026-04-21
Run the same representative tasks against both endpoints before changing production traffic.
Estimates at 50,000 req/day · 1000 tokens/req average.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Claw-Eval
Qwen3.6-27B leads this result
Gert Labs
Shared sourceGemini 3 Flash leads this result
JobBench
Not directly comparable
Terminal-Bench 2.1 (Vals)
Not directly comparable
Terminal-Bench 2.0
Not directly comparable
QwenClawBench
Not directly comparable
QwenWebBench
Not directly comparable
AndroidWorld
Not directly comparable
Vibe Code Bench
Not directly comparable
LiveCodeBench (Vals)
Not directly comparable
SWE-bench (Vals)
Not directly comparable
SWE-bench Verified
Not directly comparable
SWE Multilingual
Not directly comparable
SWE-bench Pro
Not directly comparable
Terminal-Bench 2.0
Not directly comparable
LiveCodeBench
Not directly comparable
NL2Repo
Not directly comparable
GPQA Diamond (Vals)
Not directly comparable
MMLU-Pro (Vals)
Not directly comparable
MMLU-Pro
Not directly comparable
MMLU-Redux
Not directly comparable
SuperGPQA
Not directly comparable
C-Eval
Not directly comparable
GPQA
Not directly comparable
HLE
Not directly comparable
FrontierMath v2 (Tiers 1-3)
Not directly comparable
FrontierMath v2 (Tier 4)
Not directly comparable
HMMT Feb 2025
Not directly comparable
HMMT Nov 2025
Not directly comparable
HMMT Feb 2026
Not directly comparable
MMAnswerBench
Not directly comparable
AIME26
Not directly comparable
MMMU
Not directly comparable
MMMU-Pro
Not directly comparable
RealWorldQA
Not directly comparable
DynaMath
Not directly comparable
MStar
Not directly comparable
SimpleVQA
Not directly comparable
CharXiv
Not directly comparable
CC-OCR
Not directly comparable
CountBench
Not directly comparable
RefCOCO (avg)
Not directly comparable
ERQA
Not directly comparable
Video-MME (with subtitle)
Not directly comparable
VideoMMMU
Not directly comparable
MLVU (M-Avg)
Not directly comparable
V*
Not directly comparable
Gemini 3 Flash has the higher public score estimate, 62.96 versus 52.73, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
Gemini 3 Flash leads the public coding lane, 44.2 to 42.6, with Supported evidence for both models, although the 90% intervals overlap.
Qwen3.6-27B leads the public agentic tasks lane, 33.9 to 28, with Supported evidence for both models, although the 90% intervals overlap.
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Gemini 3 Flash has the larger documented context window: 1M, compared with 262K.
Last updated September 4, 2026
One weekly email when material rank, price, or benchmark evidence changes make this matchup worth revisiting.
Read a sample issueJoin 2,000+ readers.