Inkling 2 Small vs Qwen3.7 Max

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

Decision reading

Qwen3.7 Max has the higher public point estimate, 62.28 versus 59.06. Their conditional score ranges overlap. These ranges do not establish rank confidence. 7 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A

Inkling 2 Small

Thinking Machines Lab

59.06/100

Estimated · Public rank #56

Conditional range 44.7–73.4

Model B

Qwen3.7 Max

Alibaba

62.28/100

Supported · Public rank #46

90% interval 52.2–72.3

Shared results: 7
Inkling 2 Small only: 18
Qwen3.7 Max only: 36
Like-for-like categories: 2 / 8

Estimated: Inkling 2 Small · Supported: Qwen3.7 Max. Conditional ranges do not establish rank confidence.How 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.

Coding work
Code generation, repair, and software-engineering tasks
Inkling 2 Small
Inkling 2 Small has the higher public coding point estimate, 59.7 to 44.8, with Supported evidence for both models. The conditional ranges do not establish rank confidence.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Inkling 2 Small
Inkling 2 Small has the higher public agentic point estimate, 59.9 to 41, with Supported evidence for both models. The conditional ranges do not establish rank confidence.
Confidence: limited

Show secondary and unsupported calls

Long documents
Prompts that approach the documented context limit
No clear pick
The documented context windows are equal.
Confidence: documented
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.

59.7Inkling 2 Small44.8Qwen3.7 Max

Like-for-like · BenchAlign v5.8

Inkling 2 Small has the higher coding point estimate. Conditional score ranges do not establish rank confidence.

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.

SWE MultilingualCoding
Normalized gap 2.9
Inkling 2 Small:81.2%
Qwen3.7 Max:78.3%
Inkling 2 Small source Qwen3.7 Max source
SWE-bench VerifiedCoding
Normalized gap 1.8
Inkling 2 Small:82.2%
Qwen3.7 Max:80.4%
Inkling 2 Small source Qwen3.7 Max source
HMMT Feb 2026Math
Normalized gap 1.3
Inkling 2 Small:95.8%
Qwen3.7 Max:97.1%
Inkling 2 Small source Qwen3.7 Max source
GPQAKnowledge
Normalized gap 0.6
Inkling 2 Small:93%
Qwen3.7 Max:92.4%
Inkling 2 Small source Qwen3.7 Max 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 v5.8 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.

Agentic

Like-for-like

Inkling 2 Small: 59.9; Supported · #26/131
Qwen3.7 Max: 41.0; Supported · #67/131
Basis: BenchAlign v5.8 lane · 5 vs 10 public rows
Reading: Inkling 2 Small leads · intervals overlap

Coding

Like-for-like

Inkling 2 Small: 59.7; Supported · #20/157
Qwen3.7 Max: 44.8; Supported · #60/157
Basis: BenchAlign v5.8 lane · 6 vs 10 public rows
Reading: Inkling 2 Small leads · intervals overlap

Knowledge

Directional only

Inkling 2 Small: 60.4; Estimated · #46/178
Qwen3.7 Max: 60.3; Supported · #47/178
Basis: BenchAlign v5.8 lane · 2 vs 9 public rows
Reading: Directional only

Reasoning

Not comparable

Inkling 2 Small: 86.1; Unranked · 2 rankable rows
Qwen3.7 Max: 79.7; Unranked · 3 rankable rows
Basis: Provisional lane · 1 vs 1 weighted rows
Reading: Not comparable

Multimodal

Not comparable

Inkling 2 Small: 86.6; #12/59
Qwen3.7 Max: Not ranked
Basis: Provisional lane · 1 vs 0 weighted rows
Reading: Not comparable

Multilingual

Not comparable

Inkling 2 Small: Not ranked
Qwen3.7 Max: 100.0; #1/17
Basis: Provisional lane · 0 vs 1 weighted rows
Reading: Not comparable

Instruction following

Not comparable

Inkling 2 Small: Not ranked
Qwen3.7 Max: 92.8; #17/157
Basis: Provisional lane · 0 vs 1 weighted rows
Reading: Not comparable

Math

Not comparable

Inkling 2 Small: 85.9; Unranked · 2 rankable rows
Qwen3.7 Max: 79.0; #2/12
Basis: Provisional lane · 1 vs 3 weighted rows
Reading: Not comparable

Category scores with the server-provided evidence basis for Inkling 2 Small and Qwen3.7 Max
Category	Inkling 2 Small	Qwen3.7 Max	Basis	Reading
Agentic	59.9Supported · #26/131	41.0Supported · #67/131	Like-for-likeBenchAlign v5.8 lane · 5 vs 10 public rows	Inkling 2 Small leads · intervals overlap
Coding	59.7Supported · #20/157	44.8Supported · #60/157	Like-for-likeBenchAlign v5.8 lane · 6 vs 10 public rows	Inkling 2 Small leads · intervals overlap
Knowledge	60.4Estimated · #46/178	60.3Supported · #47/178	Directional onlyBenchAlign v5.8 lane · 2 vs 9 public rows	Directional only
Reasoning	86.1Unranked · 2 rankable rows	79.7Unranked · 3 rankable rows	Not comparableProvisional lane · 1 vs 1 weighted rows	Not comparable
Multimodal	86.6#12/59	Not ranked	Not comparableProvisional lane · 1 vs 0 weighted rows	Not comparable
Multilingual	Not ranked	100.0#1/17	Not comparableProvisional lane · 0 vs 1 weighted rows	Not comparable
Instruction following	Not ranked	92.8#17/157	Not comparableProvisional lane · 0 vs 1 weighted rows	Not comparable
Math	85.9Unranked · 2 rankable rows	79.0#2/12	Not comparableProvisional lane · 1 vs 3 weighted rows	Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) 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

Inkling 2 Small: $0.0008; Fits in one request
Qwen3.7 Max: API rate not published; Fits in one request

Qwen3.7 Max has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Inkling 2 Small: $0.018; Fits in one request
Qwen3.7 Max: API rate not published; Fits in one request

Qwen3.7 Max has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Inkling 2 Small: $0.022; Fits in one request
Qwen3.7 Max: API rate not published; Fits in one request; Cached-input rate unavailable

Qwen3.7 Max 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.

SpecificationInkling 2 SmallQwen3.7 Max

Context window

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

Inkling 2 Small

Tinker models and pricing

Qwen3.7 Max

API model ID

Inkling 2 Small

Not sourced

Qwen3.7 Max

Not sourced

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Inkling 2 Small

$0.03 per 1M cached input tokens

Tinker models and pricing

Qwen3.7 Max

No comparable hosted API rate

Documented inputs

Inkling 2 Small

Not sourced

Qwen3.7 Max

Not sourced

Documented outputs

Inkling 2 Small

Not sourced

Qwen3.7 Max

Not sourced

Provider availability

Inkling 2 Small

Not sourced

Qwen3.7 Max

Not sourced

Reasoning profile

Inkling 2 Small

Hybrid

Qwen3.7 Max

Reasoning

Weight access

Inkling 2 Small

Proprietary

Qwen3.7 Max

Proprietary

License

Inkling 2 Small

Proprietary

Qwen3.7 Max

Proprietary

Release date

Inkling 2 Small

2026-11-05

Qwen3.7 Max

2026-05-16

If you already use one of these models

Deployment change: The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal: Qwen3.7 Max has the higher public point estimate, 62.28 versus 59.06. Their conditional score ranges overlap. These ranges do not establish rank confidence.
Workload cost: A complete comparable API-rate estimate is not available for both models.
Context tradeoff: Both models list 1M.

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

Questions

Which is better, Inkling 2 Small or Qwen3.7 Max?

Qwen3.7 Max has the higher public point estimate, 62.28 versus 59.06. Their conditional score ranges overlap. These ranges do not establish rank confidence. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Inkling 2 Small or Qwen3.7 Max?

Inkling 2 Small has the higher public coding point estimate, 59.7 to 44.8, with Supported evidence for both models. The conditional ranges do not establish rank confidence.

Which is better for agentic tasks, Inkling 2 Small or Qwen3.7 Max?

Inkling 2 Small has the higher public agentic tasks point estimate, 59.9 to 41, with Supported evidence for both models. The conditional ranges do not establish rank confidence.

Which costs less, Inkling 2 Small or Qwen3.7 Max?

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, Inkling 2 Small or Qwen3.7 Max?

Both models list the same context window, 1M.

Benchmark evidence

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

Browse raw public benchmark evidence61 rows

Agentic

Terminal-Bench 2.1
Inkling 2 Small85.1%
Source
Qwen3.7 Max—
Not directly comparable
BrowseComp
Inkling 2 Small90.2%
Source
Qwen3.7 Max—
Not directly comparable
DeepSearchQA
Inkling 2 Small90.9%
Source
Qwen3.7 Max—
Not directly comparable
MCP Atlas
Inkling 2 Small85%
Source
Qwen3.7 Max76.4%
Source
Inkling 2 Small leads this result
JobBench
Inkling 2 Small70.5%
Source
Qwen3.7 Max—
Not directly comparable
Terminal-Bench 2.0
Inkling 2 Small—
Qwen3.7 Max69.7%
Source
Not directly comparable
QwenClawBench
Inkling 2 Small—
Qwen3.7 Max64.3%
Source
Not directly comparable
Claw-Eval
Inkling 2 Small—
Qwen3.7 Max65.2%
Source
Not directly comparable
BFCL v4
Inkling 2 Small—
Qwen3.7 Max75.0%
Source
Not directly comparable
VITA-Bench
Inkling 2 Small—
Qwen3.7 Max47.9%
Source
Not directly comparable
HLE w/ tools
Inkling 2 Small—
Qwen3.7 Max53.5%
Source
Not directly comparable
Gert Labs
Inkling 2 Small—
Qwen3.7 Max64.27%
Source
Not directly comparable
ResearchClawBench
Inkling 2 Small—
Qwen3.7 Max18.7%
Source
Not directly comparable
Terminal-Bench 2.1 (Vals)
Inkling 2 Small—
Qwen3.7 Max61.0%
Source
Not directly comparable

Coding

SWE-bench Verified
Inkling 2 Small82.2%
Source
Qwen3.7 Max80.4%
Source
Inkling 2 Small leads this result
SWE Multilingual
Inkling 2 Small81.2%
Source
Qwen3.7 Max78.3%
Source
Inkling 2 Small leads this result
sweMarathon
Inkling 2 Small38.8%
Source
Qwen3.7 Max—
Not directly comparable
Terminal-Bench 2.1
Inkling 2 Small85.1%
Source
Qwen3.7 Max—
Not directly comparable
DeepSWE
Inkling 2 Small72.1%
Source
Qwen3.7 Max—
Not directly comparable
PostTrainBench v1.2
Inkling 2 Small31.9%
Source
Qwen3.7 Max—
Not directly comparable
SWE-bench Pro
Inkling 2 Small—
Qwen3.7 Max60.6%
Source
Not directly comparable
NL2Repo
Inkling 2 Small—
Qwen3.7 Max47.2%
Source
Not directly comparable
SciCode
Inkling 2 Small—
Qwen3.7 Max53.5%
Source
Not directly comparable
LiveCodeBench v6
Inkling 2 Small—
Qwen3.7 Max91.6%
Source
Not directly comparable
Terminal-Bench 2.0
Inkling 2 Small—
Qwen3.7 Max69.7%
Source
Not directly comparable
OpenHarmony Bench
Inkling 2 Small—
Qwen3.7 Max53.4%
Source
Not directly comparable
LiveCodeBench (Vals)
Inkling 2 Small—
Qwen3.7 Max87.1%
Source
Not directly comparable
SWE-bench (Vals)
Inkling 2 Small—
Qwen3.7 Max68.8%
Source
Not directly comparable

Reasoning

LongBench v2
Inkling 2 Small70.6%
Source
Qwen3.7 Max—
Not directly comparable
MRCRv2
Inkling 2 Small—
Qwen3.7 Max90.4%
Source
Not directly comparable
CritPt
Inkling 2 Small—
Qwen3.7 Max13.4%
Source
Not directly comparable

Multimodal

CharXiv
Inkling 2 Small87.7%
Source
Qwen3.7 Max—
Not directly comparable
CharXiv w/o tools
Inkling 2 Small85.6%
Source
Qwen3.7 Max—
Not directly comparable
Chartography (no tools)
Inkling 2 Small36.7%
Source
Qwen3.7 Max—
Not directly comparable
Chartography (tools)
Inkling 2 Small80.4%
Source
Qwen3.7 Max—
Not directly comparable
BabyVision
Inkling 2 Small68.6%
Source
Qwen3.7 Max—
Not directly comparable
BabyVision w/ Python
Inkling 2 Small93.7%
Source
Qwen3.7 Max—
Not directly comparable
ScreenSpot Pro
Inkling 2 Small83.8%
Source
Qwen3.7 Max—
Not directly comparable
PerceptionBench
Inkling 2 Small64.7%
Source
Qwen3.7 Max—
Not directly comparable
MathVision
Inkling 2 Small92.8%
Source
Qwen3.7 Max—
Not directly comparable

Knowledge

GPQA
Inkling 2 Small93%
Source
Qwen3.7 Max92.4%
Source
Inkling 2 Small leads this result
GPQA-D
Inkling 2 Small93.0%
Source
Qwen3.7 Max92.4%
Source
Inkling 2 Small leads this result
HLE
Inkling 2 Small—
Qwen3.7 Max41.4%
Source
Not directly comparable
MMLU-Pro
Inkling 2 Small—
Qwen3.7 Max89.6%
Source
Not directly comparable
MMLU-Redux
Inkling 2 Small—
Qwen3.7 Max95%
Source
Not directly comparable
SuperGPQA
Inkling 2 Small—
Qwen3.7 Max73.6%
Source
Not directly comparable
MMMLU
Inkling 2 Small—
Qwen3.7 Max90.3%
Source
Not directly comparable
GPQA Diamond (Vals)
Inkling 2 Small—
Qwen3.7 Max90.2%
Source
Not directly comparable
MMLU-Pro (Vals)
Inkling 2 Small—
Qwen3.7 Max89.3%
Source
Not directly comparable

Multilingual

MMLU-ProX
Inkling 2 Small—
Qwen3.7 Max87%
Source
Not directly comparable
NOVA-63
Inkling 2 Small—
Qwen3.7 Max59.0%
Source
Not directly comparable
INCLUDE
Inkling 2 Small—
Qwen3.7 Max86.2%
Source
Not directly comparable
MAXIFE
Inkling 2 Small—
Qwen3.7 Max89.2%
Source
Not directly comparable
PolyMath
Inkling 2 Small—
Qwen3.7 Max86.5%
Source
Not directly comparable

Instruction following

IFEval
Inkling 2 Small—
Qwen3.7 Max94.3%
Source
Not directly comparable
IFBench
Inkling 2 Small—
Qwen3.7 Max79.1%
Source
Not directly comparable

Math

HMMT Feb 2026
Inkling 2 Small95.8%
Source
Qwen3.7 Max97.1%
Source
Qwen3.7 Max leads this result
Apex
Inkling 2 Small63.5%
Source
Qwen3.7 Max44.5%
Source
Inkling 2 Small leads this result
IMOAnswerBench
Inkling 2 Small—
Qwen3.7 Max90.0%
Source
Not directly comparable
FrontierMath v2 (Tiers 1-3)
Inkling 2 Small—
Qwen3.7 Max64.561%
Source
Not directly comparable
FrontierMath v2 (Tier 4)
Inkling 2 Small—
Qwen3.7 Max34.146%
Source
Not directly comparable

61 public results · 7 shared

Related comparisons

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Last updated November 7, 2026

Inkling 2 Small vs Qwen3.7 Max

Decision reading

Which one for your work

Coding work

Agentic work

Long documents

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

Agentic

Coding

Knowledge

Reasoning

Multimodal

Multilingual

Instruction following

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, Inkling 2 Small or Qwen3.7 Max?

Which is better for coding, Inkling 2 Small or Qwen3.7 Max?

Which is better for agentic tasks, Inkling 2 Small or Qwen3.7 Max?

Which costs less, Inkling 2 Small or Qwen3.7 Max?

Which has the larger context window, Inkling 2 Small or Qwen3.7 Max?

Benchmark evidence

Agentic

Coding

Reasoning

Multimodal

Knowledge

Multilingual

Instruction following

Math

Related comparisons

Watch Inkling 2 Small vs Qwen3.7 Max