Multimodal
Directional only- Gemini 3.7 Flash
- 88.7
- Qwen3.6-35B-A3B
- 76.3
- Weighted basis
- 1 vs 2 rows
- Reading
- Directional only
Five or fewer confirmed AI changes, with original sources, on mornings when something changed.A free source-linked morning brief.
Start free briefUpdated August 13, 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.
1 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.
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.
Prompts that approach the documented context limit
Gemini 3.7 Flash
Gemini 3.7 Flash has the larger documented context window.
Confidence: documented
Code generation, repair, and software-engineering tasks
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
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: rate-fallback
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.
1 category uses different evidence sets. Those rows remain visible for coverage context but do not name a winner.
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.
| Category | Gemini 3.7 Flash | Qwen3.6-35B-A3B | Weighted basis | Reading |
|---|---|---|---|---|
| Multimodal | 88.7 | 76.3 | Directional only1 vs 2 rows | Directional only |
| Agentic | Not measured | 51.5 | Not comparable0 vs 1 rows | Not comparable |
| Coding | Not measured | 73.8 | Not comparable0 vs 3 rows | Not comparable |
| Reasoning | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Knowledge | Not measured | 51.4 | Not comparable0 vs 4 rows | Not comparable |
| Math | Not measured | 88.2 | Not comparable0 vs 2 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Instruction following | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
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.
CharXiv
Multimodal
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
Qwen3.6-35B-A3B has no comparable published API token rate.
50K fresh input + 3K output tokens
Qwen3.6-35B-A3B has no comparable published API token rate.
200K cached + 20K fresh input + 10K output tokens
Gemini 3.7 Flash has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.6-35B-A3B 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 3.7 Flash
Qwen3.6-35B-A3B
262K
Gemini 3.7 Flash
gemini-3.7-flash
Google Gemini 3.7 Flash model documentationQwen3.6-35B-A3B
Not sourced
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Gemini 3.7 Flash
Not published
Google: Introducing Gemini 3.7 FlashQwen3.6-35B-A3B
No comparable hosted API rate
Gemini 3.7 Flash
text, image, video, audio, pdf
Google Gemini 3.7 Flash model documentationQwen3.6-35B-A3B
Not sourced
Gemini 3.7 Flash
Qwen3.6-35B-A3B
Not sourced
Gemini 3.7 Flash
Generally Available · Gemini API, Google AI Studio, Google Antigravity, Gemini Enterprise Agent Platform, Gemini Enterprise, Gemini app via Spark
Google Gemini 3.7 Flash launchQwen3.6-35B-A3B
Not sourced
Gemini 3.7 Flash
Reasoning
Qwen3.6-35B-A3B
Reasoning
Gemini 3.7 Flash
Proprietary
Qwen3.6-35B-A3B
Open Weight
Gemini 3.7 Flash
Proprietary
Qwen3.6-35B-A3B
Open Weight
Gemini 3.7 Flash
2026-08-13
Qwen3.6-35B-A3B
2026-04-15
Run the same representative tasks against both endpoints before changing production traffic.
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Terminal-Bench 2.1
Not directly comparable
Terminal-Bench 3.0
Not directly comparable
AutomationBench
Not directly comparable
OSWorld 2.0
Not directly comparable
Agents' Last Exam
Not directly comparable
Terminal-Bench 2.0
Not directly comparable
Claw-Eval
Not directly comparable
QwenClawBench
Not directly comparable
QwenWebBench
Not directly comparable
τ³-bench results
Not directly comparable
VITA-Bench
Not directly comparable
DeepPlanning
Not directly comparable
Toolathlon
Not directly comparable
MCP Atlas
Not directly comparable
WideResearch
Not directly comparable
Gert Labs
Not directly comparable
FrontierCode 1.1 Main
Not directly comparable
deepSwe
Not directly comparable
Terminal-Bench 2.1
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
GDM-MRCR v2 128K average
Not directly comparable
BioMysteryBench (human-solvable)
Not directly comparable
BioMysteryBench (human-difficult)
Not directly comparable
MMLU-Pro
Not directly comparable
SuperGPQA
Not directly comparable
C-Eval
Not directly comparable
GPQA
Not directly comparable
HLE
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
GDP.pdf (no tools)
Not directly comparable
CharXiv w/o tools
Not directly comparable
CharXiv
Gemini 3.7 Flash leads this result
LVBench
Not directly comparable
MMMU
Not directly comparable
MMMU-Pro
Not directly comparable
RealWorldQA
Not directly comparable
OmniDocBench 1.5
Not directly comparable
SimpleVQA
Not directly comparable
CC-OCR
Not directly comparable
AI2D_TEST
Not directly comparable
RefCOCO (avg)
Not directly comparable
ODINW13
Not directly comparable
Video-MME (with subtitle)
Not directly comparable
Video-MME (w/o subtitle)
Not directly comparable
VideoMMMU
Not directly comparable
MLVU (M-Avg)
Not directly comparable
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.
The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.
The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.
Both models do not have comparable published API token rates, so this page does not name a universal price winner.
Gemini 3.7 Flash has the larger documented context window: 1M, compared with 262K.
Last updated August 13, 2026
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