Multimodal
Like-for-like- Inkling
- 76.5
- Qwen3.7 Plus
- 81.5
- Weighted basis
- 2 vs 2 rows
- Reading
- Qwen3.7 Plus leads
Inkling vs Qwen3.7 Plus
Updated August 29, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
Decision reading
Inkling has the higher public score estimate, 67.02 versus 65.93, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.
11 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.
No workload recommendation clears the current evidence threshold.
Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.
Show secondary and unsupported calls
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.
Confidence: limited
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
What is actually comparable
Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.
4 Inkling only
11 Shared
40 Qwen3.7 Plus only
- Shared results
- 11
- Inkling only
- 4
- Qwen3.7 Plus only
- 40
- Like-for-like categories
- 1 / 8
4 categories use different evidence sets. Those rows remain visible for coverage context but do not name a winner.
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.
Agentic
Directional only- Inkling
- 69.4
- Qwen3.7 Plus
- 71.7
- Weighted basis
- 2 vs 2 rows
- Reading
- Directional only
Coding
Directional only- Inkling
- 68.6
- Qwen3.7 Plus
- 75.6
- Weighted basis
- 2 vs 4 rows
- Reading
- Directional only
Knowledge
Directional only- Inkling
- 51.6
- Qwen3.7 Plus
- 60.1
- Weighted basis
- 2 vs 4 rows
- Reading
- Directional only
Instruction following
Directional only- Inkling
- 79.8
- Qwen3.7 Plus
- 84.5
- Weighted basis
- 1 vs 2 rows
- Reading
- Directional only
Reasoning
Not comparable- Inkling
- Not measured
- Qwen3.7 Plus
- 91.7
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Math
Not comparable- Inkling
- 97.1
- Qwen3.7 Plus
- 92.9
- Weighted basis
- 1 vs 1 rows
- Reading
- Not comparable
Multilingual
Not comparable- Inkling
- Not measured
- Qwen3.7 Plus
- 85.4
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
| Category | Inkling | Qwen3.7 Plus | Weighted basis | Reading |
|---|---|---|---|---|
| Multimodal | 76.5 | 81.5 | Like-for-like2 vs 2 rows | Qwen3.7 Plus leads |
| Agentic | 69.4 | 71.7 | Directional only2 vs 2 rows | Directional only |
| Coding | 68.6 | 75.6 | Directional only2 vs 4 rows | Directional only |
| Knowledge | 51.6 | 60.1 | Directional only2 vs 4 rows | Directional only |
| Instruction following | 79.8 | 84.5 | Directional only1 vs 2 rows | Directional only |
| Reasoning | Not measured | 91.7 | Not comparable0 vs 1 rows | Not comparable |
| Math | 97.1 | 92.9 | Not comparable1 vs 1 rows | Not comparable |
| Multilingual | Not measured | 85.4 | Not comparable0 vs 1 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.
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.
HLE
Knowledge
Terminal-Bench 2.0
Agentic
MMMU-Pro
Multimodal
CharXiv
Multimodal
SWE-bench Pro
Coding
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
- $0.00421
- Fits in one request
- Qwen3.7 Plus
- API rate not published
- Fits in one request
Qwen3.7 Plus has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Inkling
- $0.10754
- Fits in one request
- Qwen3.7 Plus
- API rate not published
- Fits in one request
Qwen3.7 Plus has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Inkling
- $0.159
- Fits in one request
- Qwen3.7 Plus
- API rate not published
- Fits in one request
- Cached-input rate unavailable
Qwen3.7 Plus 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.
SpecificationInklingQwen3.7 Plus
Context window
Maximum documented context; output-token limits may be lower.
Inkling
1M
Qwen3.7 Plus
1M
API model ID
Inkling
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.
Inkling
$0.374 per 1M cached input tokens
Qwen3.7 Plus
No comparable hosted API rate
Documented inputs
Inkling
Not sourced
Qwen3.7 Plus
Not sourced
Documented outputs
Inkling
Not sourced
Qwen3.7 Plus
Not sourced
Provider availability
Inkling
Not sourced
Qwen3.7 Plus
Not sourced
Reasoning profile
Inkling
Hybrid
Qwen3.7 Plus
Reasoning
Weight access
Inkling
Open Weight
Qwen3.7 Plus
Proprietary
License
Inkling
Open Weight
Qwen3.7 Plus
Proprietary
Release date
Inkling
2026-07-15
Qwen3.7 Plus
2026-06-03
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
- Inkling has the higher public score estimate, 67.02 versus 65.93, but the 90% score intervals overlap.
- 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.
Benchmark evidence
The full public result ledger is available for audit without forcing a wide desktop table onto a phone.
Browse raw public benchmark evidence55 rows
Agentic
Terminal-Bench 2.0
Inkling63.8%SourceQwen3.7 Plus70.3%SourceQwen3.7 Plus leads this result
BrowseComp
Inkling77.1%SourceQwen3.7 Plus—Not directly comparable
MCP Atlas
Inkling74.1%SourceQwen3.7 Plus73.2%SourceInkling leads this result
QwenClawBench
Inkling—Qwen3.7 Plus61.8%SourceNot directly comparable
Claw-Eval
Inkling—Qwen3.7 Plus62.7%SourceNot directly comparable
BFCL v4
Inkling—Qwen3.7 Plus72.9%SourceNot directly comparable
VITA-Bench
Inkling—Qwen3.7 Plus45.6%SourceNot directly comparable
DeepPlanning
Inkling—Qwen3.7 Plus62.3%SourceNot directly comparable
OSWorld-Verified
Inkling—Qwen3.7 Plus73.3%SourceNot directly comparable
AndroidWorld
Inkling—Qwen3.7 Plus81.0%SourceNot directly comparable
OSWorld 2.0
Inkling—Qwen3.7 Plus2.8%SourceNot directly comparable
Coding
SWE-bench Verified
Inkling77.6%SourceQwen3.7 Plus77.7%SourceQwen3.7 Plus leads this result
SWE-bench Pro
Inkling54.3%SourceQwen3.7 Plus57.6%SourceQwen3.7 Plus leads this result
Terminal-Bench 2.0
Inkling63.8%SourceQwen3.7 Plus70.3%SourceQwen3.7 Plus leads this result
SWE Multilingual
Inkling—Qwen3.7 Plus75.8%SourceNot directly comparable
NL2Repo
Inkling—Qwen3.7 Plus41.1%SourceNot directly comparable
SciCode
Inkling—Qwen3.7 Plus51.3%SourceNot directly comparable
LiveCodeBench
Inkling—Qwen3.7 Plus89.6%SourceNot directly comparable
Reasoning
Knowledge
GPQA
Inkling87.9%SourceQwen3.7 Plus90.3%SourceQwen3.7 Plus leads this result
GPQA-D
Inkling87.9%SourceQwen3.7 Plus90.3%SourceQwen3.7 Plus leads this result
HLE
Inkling46%SourceQwen3.7 Plus34.7%SourceInkling leads this result
HLE w/o tools
Inkling30%SourceQwen3.7 Plus—Not directly comparable
MMLU-Pro
Inkling—Qwen3.7 Plus88.5%SourceNot directly comparable
MMLU-Redux
Inkling—Qwen3.7 Plus94.5%SourceNot directly comparable
SuperGPQA
Inkling—Qwen3.7 Plus71.4%SourceNot directly comparable
MMMLU
Inkling—Qwen3.7 Plus89.0%SourceNot directly comparable
Math
Multilingual
MMLU-ProX
Inkling—Qwen3.7 Plus85.4%SourceNot directly comparable
NOVA-63
Inkling—Qwen3.7 Plus58.8%SourceNot directly comparable
INCLUDE
Inkling—Qwen3.7 Plus83.0%SourceNot directly comparable
MAXIFE
Inkling—Qwen3.7 Plus88.8%SourceNot directly comparable
PolyMath
Inkling—Qwen3.7 Plus84.0%SourceNot directly comparable
Multimodal
MMMU-Pro
Inkling73.5%SourceQwen3.7 Plus79%SourceQwen3.7 Plus leads this result
CharXiv
Inkling82%SourceQwen3.7 Plus85.9%SourceQwen3.7 Plus leads this result
CharXiv w/o tools
Inkling78.1%SourceQwen3.7 Plus—Not directly comparable
MathVision
Inkling—Qwen3.7 Plus90.3%SourceNot directly comparable
ERQA
Inkling—Qwen3.7 Plus69.8%SourceNot directly comparable
MedXpertQA (MM)
Inkling—Qwen3.7 Plus71.0%SourceNot directly comparable
ScreenSpot Pro
Inkling—Qwen3.7 Plus79.0%SourceNot directly comparable
SimpleVQA
Inkling—Qwen3.7 Plus81.7%SourceNot directly comparable
MMSearch-Plus
Inkling—Qwen3.7 Plus41.4%SourceNot directly comparable
RealWorldQA
Inkling—Qwen3.7 Plus86.9%SourceNot directly comparable
OmniDocBench 1.5
Inkling—Qwen3.7 Plus91.4%SourceNot directly comparable
OCRBench V2
Inkling—Qwen3.7 Plus70.7%SourceNot directly comparable
ODINW13
Inkling—Qwen3.7 Plus51.1%SourceNot directly comparable
Video-MME (with subtitle)
Inkling—Qwen3.7 Plus88.0%SourceNot directly comparable
VideoMMMU
Inkling—Qwen3.7 Plus85.4%SourceNot directly comparable
MLVU (M-Avg)
Inkling—Qwen3.7 Plus87.4%SourceNot directly comparable
Instruction following
Frequently asked questions
Which is better, Inkling or Qwen3.7 Plus?
Inkling has the higher public score estimate, 67.02 versus 65.93, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.
Which is better for coding, Inkling or Qwen3.7 Plus?
The current coding averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.
Which is better for agentic tasks, Inkling or Qwen3.7 Plus?
The current agentic tasks averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.
Which costs less, Inkling 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, Inkling or Qwen3.7 Plus?
Both models list the same context window, 1M.
Related comparisons
Last updated August 29, 2026
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