Agentic
Not comparable- Qwen3.5-122B-A10B
- 56.4
- Qwen3.5 Flash
- Not measured
- Weighted basis
- 3 vs 0 rows
- Reading
- Not comparable
Qwen3.5-122B-A10B vs Qwen3.5 Flash
Updated August 13, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead.
0 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.
Long documents
Prompts that approach the documented context limit
Qwen3.5 Flash
Qwen3.5 Flash has the larger documented context window.
Confidence: documented
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
No shared weighted benchmark basis supports a winner.
Confidence: limited
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: rate-fallback
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.
15 Qwen3.5-122B-A10B only
2 Qwen3.5 Flash only
- Shared results
- 0
- Qwen3.5-122B-A10B only
- 15
- Qwen3.5 Flash only
- 2
- Like-for-like categories
- 0 / 8
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.
Coding
Not comparable- Qwen3.5-122B-A10B
- 72.0
- Qwen3.5 Flash
- Not measured
- Weighted basis
- 1 vs 0 rows
- Reading
- Not comparable
Reasoning
Not comparable- Qwen3.5-122B-A10B
- 60.2
- Qwen3.5 Flash
- Not measured
- Weighted basis
- 1 vs 0 rows
- Reading
- Not comparable
Knowledge
Not comparable- Qwen3.5-122B-A10B
- 83.6
- Qwen3.5 Flash
- Not measured
- Weighted basis
- 3 vs 0 rows
- Reading
- Not comparable
Math
Not comparable- Qwen3.5-122B-A10B
- Not measured
- Qwen3.5 Flash
- 4.7
- Weighted basis
- 0 vs 2 rows
- Reading
- Not comparable
Multilingual
Not comparable- Qwen3.5-122B-A10B
- 82.2
- Qwen3.5 Flash
- Not measured
- Weighted basis
- 1 vs 0 rows
- Reading
- Not comparable
Multimodal
Not comparable- Qwen3.5-122B-A10B
- 77.2
- Qwen3.5 Flash
- Not measured
- Weighted basis
- 1 vs 0 rows
- Reading
- Not comparable
Instruction following
Not comparable- Qwen3.5-122B-A10B
- 93.4
- Qwen3.5 Flash
- Not measured
- Weighted basis
- 1 vs 0 rows
- Reading
- Not comparable
| Category | Qwen3.5-122B-A10B | Qwen3.5 Flash | Weighted basis | Reading |
|---|---|---|---|---|
| Agentic | 56.4 | Not measured | Not comparable3 vs 0 rows | Not comparable |
| Coding | 72.0 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Reasoning | 60.2 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Knowledge | 83.6 | Not measured | Not comparable3 vs 0 rows | Not comparable |
| Math | Not measured | 4.7 | Not comparable0 vs 2 rows | Not comparable |
| Multilingual | 82.2 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Multimodal | 77.2 | Not measured | Not comparable1 vs 0 rows | Not comparable |
| Instruction following | 93.4 | Not measured | Not comparable1 vs 0 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.
A shared-evidence shape is not available.
BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.
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
- Qwen3.5-122B-A10B
- Self-hosted; infrastructure cost varies
- Fits in one request
- Qwen3.5 Flash
- $0.0003
- Fits in one request
Qwen3.5-122B-A10B has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Qwen3.5-122B-A10B
- Self-hosted; infrastructure cost varies
- Fits in one request
- Qwen3.5 Flash
- $0.0062
- Fits in one request
Qwen3.5-122B-A10B has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Qwen3.5-122B-A10B
- Self-hosted; infrastructure cost varies
- Fits in one request
- Cached-input rate unavailable
- Qwen3.5 Flash
- $0.026
- Fits in one request
- Cached input priced at the published list-input rate
Qwen3.5 Flash has no published cached-input rate, so cached tokens use its listed input rate. Qwen3.5-122B-A10B 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.
SpecificationQwen3.5-122B-A10BQwen3.5 Flash
Context window
Maximum documented context; output-token limits may be lower.
Qwen3.5-122B-A10B
262K
Qwen3.5 Flash
1M
API model ID
Qwen3.5-122B-A10B
Not sourced
Qwen3.5 Flash
Not sourced
Cached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Qwen3.5-122B-A10B
No comparable hosted API rate
Qwen3.5 Flash
Not published
Documented inputs
Qwen3.5-122B-A10B
Not sourced
Qwen3.5 Flash
Not sourced
Documented outputs
Qwen3.5-122B-A10B
Not sourced
Qwen3.5 Flash
Not sourced
Provider availability
Qwen3.5-122B-A10B
Not sourced
Qwen3.5 Flash
Not sourced
Reasoning profile
Qwen3.5-122B-A10B
Reasoning
Qwen3.5 Flash
Reasoning
Weight access
Qwen3.5-122B-A10B
Open Weight
Qwen3.5 Flash
Proprietary
License
Qwen3.5-122B-A10B
Open Weight
Qwen3.5 Flash
Proprietary
Release date
Qwen3.5-122B-A10B
2026-03-04
Qwen3.5 Flash
2026-03-04
If you already use one of these models
- Deployment change
- Both entries list Alibaba as the provider. Confirm endpoint, model ID, limits, and feature support before switching.
- Quality signal
- The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
- Workload cost
- A complete comparable API-rate estimate is not available for both models.
- Context tradeoff
- Qwen3.5 Flash has the larger documented window (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 evidence17 rows
Agentic
Coding
SWE-bench Verified
Qwen3.5-122B-A10B72%SourceQwen3.5 Flash—Not directly comparable
Reasoning
LongBench v2
Qwen3.5-122B-A10B60.2%SourceQwen3.5 Flash—Not directly comparable
Knowledge
Math
Multilingual
MMLU-ProX
Qwen3.5-122B-A10B82.2%SourceQwen3.5 Flash—Not directly comparable
Multimodal
MMMU
Qwen3.5-122B-A10B83.9%SourceQwen3.5 Flash—Not directly comparable
MMVU
Qwen3.5-122B-A10B74.7%SourceQwen3.5 Flash—Not directly comparable
MathVision
Qwen3.5-122B-A10B86.2%SourceQwen3.5 Flash—Not directly comparable
CharXiv
Qwen3.5-122B-A10B77.2%SourceQwen3.5 Flash—Not directly comparable
V*
Qwen3.5-122B-A10B93.2%SourceQwen3.5 Flash—Not directly comparable
Instruction following
IFEval
Qwen3.5-122B-A10B93.4%SourceQwen3.5 Flash—Not directly comparable
Frequently asked questions
Which is better, Qwen3.5-122B-A10B or Qwen3.5 Flash?
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.
Which is better for coding, Qwen3.5-122B-A10B or Qwen3.5 Flash?
The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.
Which is better for agentic tasks, Qwen3.5-122B-A10B or Qwen3.5 Flash?
The published evidence does not provide a shared weighted agentic tasks basis for both models, so BenchLM does not name a agentic tasks winner.
Which costs less, Qwen3.5-122B-A10B or Qwen3.5 Flash?
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, Qwen3.5-122B-A10B or Qwen3.5 Flash?
Qwen3.5 Flash has the larger documented context window: 1M, compared with 262K.
Related comparisons
Last updated August 13, 2026
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