Qwen3.5-122B-A10B vs Qwen3.7 Plus

Updated September 27, 2026. Rank says Qwen3.7 Plus is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

Decision reading

Qwen3.7 Plus has the higher public score estimate, 55.78 versus 40.06, but the 90% score intervals overlap. Treat that as a lead, not a settled winner. 10 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A

Qwen3.5-122B-A10B

Alibaba

40.06/100

Estimated · Public rank #113

90% interval 19.5–60.6

Model B

Qwen3.7 Plus

Alibaba

55.78/100

Supported · Public rank #50

90% interval 45.6–65.9

Shared results: 10
Qwen3.5-122B-A10B only: 5
Qwen3.7 Plus only: 42
Like-for-like categories: 1 / 8

Estimated: Qwen3.5-122B-A10B · Supported: Qwen3.7 PlusHow the comparison works

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
Qwen3.7 Plus
Qwen3.7 Plus 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
Qwen3.7 Plus is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Qwen3.5-122B-A10B is scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.
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: 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

Which one for a specific job

Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.

Pick the job you would use them for

The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.

35.7Qwen3.5-122B-A10B43.6Qwen3.7 Plus

Directional only · BenchAlign v5.7

Qwen3.7 Plus scores higher, but at least one score rests on Estimated evidence or a different benchmark set. Directional only, no winner.

Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.

Open the coding leaderboard Shortlist models for this job

Same basis rules as the category table below

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 2.0Agentic
Normalized gap 20.9
Qwen3.5-122B-A10B:49.4%
Qwen3.7 Plus:70.3%
Qwen3.5-122B-A10B source Qwen3.7 Plus source
OSWorld-VerifiedAgentic
Normalized gap 15.3
Qwen3.5-122B-A10B:58%
Qwen3.7 Plus:73.3%
Qwen3.5-122B-A10B source Qwen3.7 Plus source
CharXivMultimodal
Normalized gap 8.7
Qwen3.5-122B-A10B:77.2%
Qwen3.7 Plus:85.9%
Qwen3.5-122B-A10B source Qwen3.7 Plus source
SWE-bench VerifiedCoding
Normalized gap 5.7
Qwen3.5-122B-A10B:72%
Qwen3.7 Plus:77.7%
Qwen3.5-122B-A10B source Qwen3.7 Plus source
SuperGPQAKnowledge
Normalized gap 4.3
Qwen3.5-122B-A10B:67.1%
Qwen3.7 Plus:71.4%
Qwen3.5-122B-A10B source Qwen3.7 Plus source

Bars run 0–100 on each benchmark’s normalized display scale

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign v5.7 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.

Multilingual

Like-for-like

Qwen3.5-122B-A10B: 36.8; #10/12
Qwen3.7 Plus: 78.9; #3/12
Basis: Provisional lane · 1 vs 1 weighted rows
Reading: Qwen3.7 Plus leads

Agentic

Directional only

Qwen3.5-122B-A10B: 23.1; Estimated · #84/105
Qwen3.7 Plus: 35.2; Supported · #55/105
Basis: BenchAlign v5.7 lane · 3 vs 11 public rows
Reading: Directional only

Coding

Directional only

Qwen3.5-122B-A10B: 35.7; Supported · #73/135
Qwen3.7 Plus: 43.6; Estimated · #49/135
Basis: BenchAlign v5.7 lane · 1 vs 7 public rows
Reading: Directional only

Multimodal

Directional only

Qwen3.5-122B-A10B: 57.0; #34/50
Qwen3.7 Plus: 72.4; #19/50
Basis: Provisional lane · 1 vs 2 weighted rows
Reading: Directional only

Knowledge

Directional only

Qwen3.5-122B-A10B: 41.5; Supported · #86/158
Qwen3.7 Plus: 52.3; Estimated · #50/158
Basis: BenchAlign v5.7 lane · 3 vs 7 public rows
Reading: Directional only

Instruction following

Directional only

Qwen3.5-122B-A10B: 91.6; #11/124
Qwen3.7 Plus: 89.2; #18/124
Basis: Provisional lane · 0 vs 1 weighted rows
Reading: Directional only

Reasoning

Not comparable

Qwen3.5-122B-A10B: 49.8; Unranked · 3 rankable rows
Qwen3.7 Plus: 75.1; Unranked · 3 rankable rows
Basis: Provisional lane · 1 vs 1 weighted rows
Reading: Not comparable

Math

Not comparable

Qwen3.5-122B-A10B: Not ranked
Qwen3.7 Plus: 78.2; Unranked · 3 rankable rows
Basis: Provisional lane · 0 vs 1 weighted rows
Reading: Not comparable

Category scores with the server-provided evidence basis for Qwen3.5-122B-A10B and Qwen3.7 Plus
Category	Qwen3.5-122B-A10B	Qwen3.7 Plus	Basis	Reading
Multilingual	36.8#10/12	78.9#3/12	Like-for-likeProvisional lane · 1 vs 1 weighted rows	Qwen3.7 Plus leads
Agentic	23.1Estimated · #84/105	35.2Supported · #55/105	Directional onlyBenchAlign v5.7 lane · 3 vs 11 public rows	Directional only
Coding	35.7Supported · #73/135	43.6Estimated · #49/135	Directional onlyBenchAlign v5.7 lane · 1 vs 7 public rows	Directional only
Multimodal	57.0#34/50	72.4#19/50	Directional onlyProvisional lane · 1 vs 2 weighted rows	Directional only
Knowledge	41.5Supported · #86/158	52.3Estimated · #50/158	Directional onlyBenchAlign v5.7 lane · 3 vs 7 public rows	Directional only
Instruction following	91.6#11/124	89.2#18/124	Directional onlyProvisional lane · 0 vs 1 weighted rows	Directional only
Reasoning	49.8Unranked · 3 rankable rows	75.1Unranked · 3 rankable rows	Not comparableProvisional lane · 1 vs 1 weighted rows	Not comparable
Math	Not ranked	78.2Unranked · 3 rankable rows	Not comparableProvisional lane · 0 vs 1 weighted rows	Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.7) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Supported evidence per lane · bars run 0–100Methodology

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
Qwen3.7 Plus: API rate not published; Fits in one request

Qwen3.5-122B-A10B has no comparable published API token rate. Qwen3.7 Plus 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
Qwen3.7 Plus: API rate not published; Fits in one request

Qwen3.5-122B-A10B has no comparable published API token rate. Qwen3.7 Plus 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
Qwen3.7 Plus: API rate not published; Fits in one request; Cached-input rate unavailable

Qwen3.5-122B-A10B has no comparable published API token rate. Qwen3.7 Plus has no comparable published API token rate.

Cached input falls back to the list input rate only where a cached rate is unpublished

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

SpecificationQwen3.5-122B-A10BQwen3.7 Plus

Context window

Maximum documented context; output-token limits may be lower.

Qwen3.5-122B-A10B

262K

Qwen3.7 Plus

API model ID

Qwen3.5-122B-A10B

Not sourced

Qwen3.7 Plus

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

Qwen3.7 Plus

No comparable hosted API rate

Documented inputs

Qwen3.5-122B-A10B

Not sourced

Qwen3.7 Plus

Not sourced

Documented outputs

Qwen3.5-122B-A10B

Not sourced

Qwen3.7 Plus

Not sourced

Provider availability

Qwen3.5-122B-A10B

Not sourced

Qwen3.7 Plus

Not sourced

Reasoning profile

Qwen3.5-122B-A10B

Reasoning

Qwen3.7 Plus

Reasoning

Weight access

Qwen3.5-122B-A10B

Open Weight

Qwen3.7 Plus

Proprietary

License

Qwen3.5-122B-A10B

Open Weight

Qwen3.7 Plus

Proprietary

Release date

Qwen3.5-122B-A10B

2026-03-04

Qwen3.7 Plus

2026-06-03

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: Qwen3.7 Plus has the higher public score estimate, 55.78 versus 40.06, but the 90% score intervals overlap.
Workload cost: A complete comparable API-rate estimate is not available for both models.
Context tradeoff: Qwen3.7 Plus has the larger documented window (1M).

Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, Qwen3.5-122B-A10B or Qwen3.7 Plus?

Qwen3.7 Plus has the higher public score estimate, 55.78 versus 40.06, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, Qwen3.5-122B-A10B or Qwen3.7 Plus?

Qwen3.7 Plus scores higher for coding on the public lane, 43.6 to 35.7. Qwen3.7 Plus is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, Qwen3.5-122B-A10B or Qwen3.7 Plus?

Qwen3.7 Plus scores higher for agentic tasks on the public lane, 35.2 to 23.1. Qwen3.5-122B-A10B is scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which costs less, Qwen3.5-122B-A10B or Qwen3.7 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, Qwen3.5-122B-A10B or Qwen3.7 Plus?

Qwen3.7 Plus has the larger documented context window: 1M, compared with 262K.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence57 rows

Agentic

Terminal-Bench 2.0
Qwen3.5-122B-A10B49.4%
Source
Qwen3.7 Plus70.3%
Source
Qwen3.7 Plus leads this result
BrowseComp
Qwen3.5-122B-A10B63.8%
Source
Qwen3.7 Plus—
Not directly comparable
OSWorld-Verified
Qwen3.5-122B-A10B58%
Source
Qwen3.7 Plus73.3%
Source
Qwen3.7 Plus leads this result
QwenClawBench
Qwen3.5-122B-A10B—
Qwen3.7 Plus61.8%
Source
Not directly comparable
Claw-Eval
Qwen3.5-122B-A10B—
Qwen3.7 Plus62.7%
Source
Not directly comparable
BFCL v4
Qwen3.5-122B-A10B—
Qwen3.7 Plus72.9%
Source
Not directly comparable
MCP Atlas
Qwen3.5-122B-A10B—
Qwen3.7 Plus73.2%
Source
Not directly comparable
VITA-Bench
Qwen3.5-122B-A10B—
Qwen3.7 Plus45.6%
Source
Not directly comparable
DeepPlanning
Qwen3.5-122B-A10B—
Qwen3.7 Plus62.3%
Source
Not directly comparable
AndroidWorld
Qwen3.5-122B-A10B—
Qwen3.7 Plus81.0%
Source
Not directly comparable
OSWorld 2.0
Qwen3.5-122B-A10B—
Qwen3.7 Plus2.8%
Source
Not directly comparable
Terminal-Bench 2.1 (Vals)
Qwen3.5-122B-A10B—
Qwen3.7 Plus52.8%
Source
Not directly comparable

Coding

SWE-bench Verified
Qwen3.5-122B-A10B72%
Source
Qwen3.7 Plus77.7%
Source
Qwen3.7 Plus leads this result
Terminal-Bench 2.0
Qwen3.5-122B-A10B—
Qwen3.7 Plus70.3%
Source
Not directly comparable
SWE-bench Pro
Qwen3.5-122B-A10B—
Qwen3.7 Plus57.6%
Source
Not directly comparable
SWE Multilingual
Qwen3.5-122B-A10B—
Qwen3.7 Plus75.8%
Source
Not directly comparable
NL2Repo
Qwen3.5-122B-A10B—
Qwen3.7 Plus41.1%
Source
Not directly comparable
SciCode
Qwen3.5-122B-A10B—
Qwen3.7 Plus51.3%
Source
Not directly comparable
LiveCodeBench
Qwen3.5-122B-A10B—
Qwen3.7 Plus89.6%
Source
Not directly comparable

Reasoning

LongBench v2
Qwen3.5-122B-A10B60.2%
Source
Qwen3.7 Plus—
Not directly comparable
CritPt
Qwen3.5-122B-A10B—
Qwen3.7 Plus9.1%
Source
Not directly comparable
MRCRv2
Qwen3.5-122B-A10B—
Qwen3.7 Plus91.7%
Source
Not directly comparable

Multimodal

MMMU
Qwen3.5-122B-A10B83.9%
Source
Qwen3.7 Plus—
Not directly comparable
MMVU
Qwen3.5-122B-A10B74.7%
Source
Qwen3.7 Plus—
Not directly comparable
MathVision
Qwen3.5-122B-A10B86.2%
Source
Qwen3.7 Plus90.3%
Source
Qwen3.7 Plus leads this result
CharXiv
Qwen3.5-122B-A10B77.2%
Source
Qwen3.7 Plus85.9%
Source
Qwen3.7 Plus leads this result
V*
Qwen3.5-122B-A10B93.2%
Source
Qwen3.7 Plus—
Not directly comparable
MMMU-Pro
Qwen3.5-122B-A10B—
Qwen3.7 Plus79%
Source
Not directly comparable
ERQA
Qwen3.5-122B-A10B—
Qwen3.7 Plus69.8%
Source
Not directly comparable
MedXpertQA (MM)
Qwen3.5-122B-A10B—
Qwen3.7 Plus71.0%
Source
Not directly comparable
ScreenSpot Pro
Qwen3.5-122B-A10B—
Qwen3.7 Plus79.0%
Source
Not directly comparable
SimpleVQA
Qwen3.5-122B-A10B—
Qwen3.7 Plus81.7%
Source
Not directly comparable
MMSearch-Plus
Qwen3.5-122B-A10B—
Qwen3.7 Plus41.4%
Source
Not directly comparable
RealWorldQA
Qwen3.5-122B-A10B—
Qwen3.7 Plus86.9%
Source
Not directly comparable
OmniDocBench 1.5
Qwen3.5-122B-A10B—
Qwen3.7 Plus91.4%
Source
Not directly comparable
OCRBench V2
Qwen3.5-122B-A10B—
Qwen3.7 Plus70.7%
Source
Not directly comparable
ODINW13
Qwen3.5-122B-A10B—
Qwen3.7 Plus51.1%
Source
Not directly comparable
Video-MME (with subtitle)
Qwen3.5-122B-A10B—
Qwen3.7 Plus88.0%
Source
Not directly comparable
VideoMMMU
Qwen3.5-122B-A10B—
Qwen3.7 Plus85.4%
Source
Not directly comparable
MLVU (M-Avg)
Qwen3.5-122B-A10B—
Qwen3.7 Plus87.4%
Source
Not directly comparable

Knowledge

MMLU-Pro
Qwen3.5-122B-A10B86.7%
Source
Qwen3.7 Plus88.5%
Source
Qwen3.7 Plus leads this result
SuperGPQA
Qwen3.5-122B-A10B67.1%
Source
Qwen3.7 Plus71.4%
Source
Qwen3.7 Plus leads this result
GPQA
Qwen3.5-122B-A10B86.6%
Source
Qwen3.7 Plus90.3%
Source
Qwen3.7 Plus leads this result
GPQA-D
Qwen3.5-122B-A10B—
Qwen3.7 Plus90.3%
Source
Not directly comparable
HLE
Qwen3.5-122B-A10B—
Qwen3.7 Plus34.7%
Source
Not directly comparable
MMLU-Redux
Qwen3.5-122B-A10B—
Qwen3.7 Plus94.5%
Source
Not directly comparable
MMMLU
Qwen3.5-122B-A10B—
Qwen3.7 Plus89.0%
Source
Not directly comparable

Multilingual

MMLU-ProX
Qwen3.5-122B-A10B82.2%
Source
Qwen3.7 Plus85.4%
Source
Qwen3.7 Plus leads this result
NOVA-63
Qwen3.5-122B-A10B—
Qwen3.7 Plus58.8%
Source
Not directly comparable
INCLUDE
Qwen3.5-122B-A10B—
Qwen3.7 Plus83.0%
Source
Not directly comparable
MAXIFE
Qwen3.5-122B-A10B—
Qwen3.7 Plus88.8%
Source
Not directly comparable
PolyMath
Qwen3.5-122B-A10B—
Qwen3.7 Plus84.0%
Source
Not directly comparable

Instruction following

IFEval
Qwen3.5-122B-A10B93.4%
Source
Qwen3.7 Plus94.6%
Source
Qwen3.7 Plus leads this result
IFBench
Qwen3.5-122B-A10B—
Qwen3.7 Plus79.1%
Source
Not directly comparable

Math

HMMT Feb 2026
Qwen3.5-122B-A10B—
Qwen3.7 Plus92.9%
Source
Not directly comparable
IMOAnswerBench
Qwen3.5-122B-A10B—
Qwen3.7 Plus86.0%
Source
Not directly comparable
Apex
Qwen3.5-122B-A10B—
Qwen3.7 Plus22.7%
Source
Not directly comparable

57 public results · 10 shared

Related comparisons

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Last updated September 27, 2026

Qwen3.5-122B-A10B vs Qwen3.7 Plus

Decision reading

Which one for your work

Long documents

Coding work

Agentic work

Chat turn cost

Cache-heavy agent loop cost

Repository review cost

Which one for a specific job

What is actually comparable

Shape of the matched evidence

Category results, on a stated basis

Multilingual

Agentic

Coding

Multimodal

Knowledge

Instruction following

Reasoning

Math

What each workload costs

Chat turn

Repository review

Cache-heavy agent loop

Specification differences

Context window

API model ID

Cached-input rate

Documented inputs

Documented outputs

Provider availability

Reasoning profile

Weight access

License

Release date

If you already use one of these models

Questions

Which is better, Qwen3.5-122B-A10B or Qwen3.7 Plus?

Which is better for coding, Qwen3.5-122B-A10B or Qwen3.7 Plus?

Which is better for agentic tasks, Qwen3.5-122B-A10B or Qwen3.7 Plus?

Which costs less, Qwen3.5-122B-A10B or Qwen3.7 Plus?

Which has the larger context window, Qwen3.5-122B-A10B or Qwen3.7 Plus?

Benchmark evidence

Agentic

Coding

Reasoning

Multimodal

Knowledge

Multilingual

Instruction following

Math

Related comparisons

Watch Qwen3.5-122B-A10B vs Qwen3.7 Plus