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Model profile

Qwen3.5 Flash

AlibabaCurrentReleased Mar 4, 2026
Data verified
Overall Score
47.65Public #134 of 200Verified #69 of 99
Arena Elo
1397
Eligible category ranks
0of 8
Price (1M tokens)
$0.1 in / $0.4 out
API pricing
Speed
Not listed
Context
1M

Evidence coverage

2 of 323 tracked benchmarks are published. 2 are verified and 0 provisional. 1 of 8 categories are measured.

Updated July 23, 2026Methodology
Published / tracked
2 / 323
Verified
2
Provisional
0
Categories with evidence
1 / 8

Evidence by category

  • Agentic0 benchmarks
    Not measured
  • Coding0 benchmarks
    Not measured
  • Reasoning0 benchmarks
    Not measured
  • Knowledge0 benchmarks
    Not measured
  • Math2 benchmarks
    Verified
  • Multilingual0 benchmarks
    Not measured
  • Multimodal0 benchmarks
    Not measured
  • Inst. Following0 benchmarks
    Not measured
ProprietaryReasoning
Confidence:
Low
base

Qwen3.5 Flash ranks #134 out of 200 models on the public leaderboard with an overall score of 47.65/100. It also ranks #69 out of 99 on the verified leaderboard. While not a frontier model, it offers specific advantages depending on the use case.

Qwen3.5 Flash is a proprietary model with a 1M token context window. It uses explicit chain-of-thought reasoning, which typically improves performance on math and complex reasoning tasks at the cost of higher latency and token usage.

This profile currently has 2 of 323 tracked benchmarks. BenchLM only exposes non-generated benchmark rows publicly, so missing categories stay blank until a sourced evaluation is available.

Peer position

Exact provisional scores and ranks for the closest listed peers. A score can appear before a model clears the evidence threshold for a rank, so equal scores can have different rank states.

Range 47.2947.89

  1. o3
    OpenAI
    #13147.89
    o3 is #131 with a score of 47.89.
    Compare
  2. Claude 3.5 Sonnet
    Anthropic
    #13247.74
    Claude 3.5 Sonnet is #132 with a score of 47.74.
    Compare
  3. GLM-4.5-Air
    Z.AI
    #13347.7
    GLM-4.5-Air is #133 with a score of 47.7.
    Compare
  4. Qwen3.5 FlashCurrent model
    Alibaba
    #13447.65
    Qwen3.5 Flash is #134 with a score of 47.65.
  5. Command A+
    Cohere
    #13547.51
    Command A+ is #135 with a score of 47.51.
    Compare
  6. o3-mini
    OpenAI
    #13647.41
    o3-mini is #136 with a score of 47.41.
    Compare
  7. Gemma 4 12B
    Google
    #13747.29
    Gemma 4 12B is #137 with a score of 47.29.
    Compare

Category percentile

More

Relative position among models eligible for each sourced category. A higher percentile means a stronger position within that category's ranked cohort; 100 is highest.

No eligible category percentile is available from the published evidence yet.

Category evidence

Scores and ranks appear only where this model has published benchmark evidence. Categories without displayable source records remain not measured.

Category scores, ranks, weighting, benchmark coverage, and evidence status
CategoryScore
AgenticWeight 22%0 benchmarksNot measuredNot measured
CodingWeight 20%0 benchmarksNot measuredNot measured
ReasoningWeight 17%0 benchmarksNot measuredNot measured
KnowledgeWeight 12%0 benchmarksNot measuredNot measured
MathRank Not rankedWeight 5%2 benchmarksVerified28.7
MultilingualWeight 7%0 benchmarksNot measuredNot measured
MultimodalWeight 12%0 benchmarksNot measuredNot measured
Inst. FollowingWeight 5%0 benchmarksNot measuredNot measured

Chatbot Arena performance

Scroll horizontally to inspect confidence intervals and vote counts.

Chatbot Arena Elo, confidence interval, and vote count by evaluation view
ViewEloConfidence intervalVotes
Text Overall1397±3.955,880
Coding1438±6.015,930
Math1403±11.23,067
Instruction Following1383±5.617,844
Creative Writing1339±7.48,627
Multi-turn1396±7.09,820
Hard Prompts1416±4.635,854
Hard Prompts (English)1422±5.817,110
Longer Query1402±5.522,324

Benchmark Details

Rows below have a displayable published verification record. Each source link and provenance note remains in the page HTML while its category is closed. Source-unverified manual rows and generated rows stay hidden.

Math2 benchmarks
FrontierMath v2 (Tiers 1-3)Benchmark exact

FrontierMath v2 Tiers 1-3

6.207%Weighted 30%
Source: Epoch AI FrontierMath v2 leaderboardProvenance: Epoch AI reports FrontierMath v2 Tiers 1-3 at 6.207% for qwen3.5-flash. BenchLM selects the highest published thinking effort for the model and stores the v2 benchmark slice separately.
FrontierMath v2 (Tier 4)Benchmark exact

FrontierMath v2 Tier 4

0.000%Weighted 10%
Source: Epoch AI FrontierMath v2 leaderboardProvenance: Epoch AI reports FrontierMath v2 Tier 4 at 0% for qwen3.5-flash. BenchLM selects the highest published thinking effort for the model and stores the v2 benchmark slice separately.

Frequently Asked Questions

How does Qwen3.5 Flash perform overall in AI benchmarks?

Qwen3.5 Flash has 2 published benchmark scores on BenchLM, but it does not yet have enough non-generated coverage to receive a global overall rank.

Is Qwen3.5 Flash good for mathematics?

Qwen3.5 Flash has visible benchmark coverage in mathematics, but BenchLM does not currently assign it a global category rank there.

Does Qwen3.5 Flash have full benchmark coverage on BenchLM?

Not yet. Qwen3.5 Flash currently has 2 published benchmark scores out of the 323 benchmarks BenchLM tracks. BenchLM only exposes non-generated public benchmark rows, so missing categories stay blank until a sourced evaluation is available.

What is the context window size of Qwen3.5 Flash?

Qwen3.5 Flash has a published context window of 1M, which determines how much text it can process in a single interaction.

Last updated: July 23, 2026 · Runtime metrics stay blank until BenchLM has a sourced snapshot.

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