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Model comparison

Inkling vs Qwen3.5-122B-A10B

Data verified

Head-to-head evidence from 5 shared benchmark results across 4 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

Thinking Machines Lab
69/100
Margin
8.5pts
← winning
60.5/100
1 category wins4 category wins

Verified leaderboard positions: Inkling #17; Qwen3.5-122B-A10B #25

BenchAlign evidence: Inkling not scored; Qwen3.5-122B-A10B supported. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Inkling and Qwen3.5-122B-A10B share 5 comparable benchmark results. 5 of 8 categories are comparable. 11 results are unique to Inkling; 27 to Qwen3.5-122B-A10B.

Updated July 15, 2026
Shared results
5
Inkling only
11
Qwen3.5-122B-A10B only
27
Comparable categories
5 / 8

Pick Inkling if you want the stronger benchmark profile. Qwen3.5-122B-A10B only becomes the better choice if knowledge is the priority or you want the cheaper token bill.

Confidence note. This is a partial-evidence comparison with 5 shared benchmark results across 4 evidence categories; 5 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

Inkling is clearly ahead on the provisional aggregate, 69 to 59. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

Inkling's sharpest advantage is in agentic, where it averages 69.4 against 56.4. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 63.8% to 49.4%. Qwen3.5-122B-A10B does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.

Inkling is also the more expensive model on tokens at $1.87 input / $4.68 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen3.5-122B-A10B. That is roughly Infinityx on output cost alone. Qwen3.5-122B-A10B is the reasoning model in the pair, while Inkling is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Inkling gives you the larger context window at 1M, compared with 262K for Qwen3.5-122B-A10B.

Category breakdown

Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.

Category scores and score margins for Inkling and Qwen3.5-122B-A10B
CategoryInklingΔQwen3.5-122B-A10B
KnowledgeInkling51.7Margin 31.9Qwen3.5-122B-A10B83.6
Inst. FollowingInkling79.8Margin 13.6Qwen3.5-122B-A10B93.4
AgenticInkling69.4Margin 13.0Qwen3.5-122B-A10B56.4
CodingInkling68.6Margin 3.4Qwen3.5-122B-A10B72.0
MultimodalInkling76.5Margin 0.7Qwen3.5-122B-A10B77.2
ReasoningInklingNot measuredMarginNo overlapQwen3.5-122B-A10B60.2
MathInkling97.1MarginNo overlapQwen3.5-122B-A10BNot measured
MultilingualInklingNot measuredMarginNo overlapQwen3.5-122B-A10B82.2

Decisive benchmark drivers

The largest measured benchmark gaps in this matchup, with exact reported values.

More
A · InklingB · Qwen3.5-122B-A10B
  1. Terminal-Bench 2.0

    Agentic
    Source ↗
    A 63.8%B 49.4%
    Winner: InklingΔ 14.4
    Terminal-Bench 2.0: Inkling scored 63.8%; Qwen3.5-122B-A10B scored 49.4%. Inkling wins this benchmark.
  2. BrowseComp

    Agentic
    Source ↗
    A 77.1%B 63.8%
    Winner: InklingΔ 13.3
    BrowseComp: Inkling scored 77.1%; Qwen3.5-122B-A10B scored 63.8%. Inkling wins this benchmark.
  3. SWE-bench Verified

    Coding
    Source ↗
    A 77.6%B 72%
    Winner: InklingΔ 5.6
    SWE-bench Verified: Inkling scored 77.6%; Qwen3.5-122B-A10B scored 72%. Inkling wins this benchmark.
  4. CharXiv

    Multimodal
    Source ↗
    A 82%B 77.2%
    Winner: InklingΔ 4.8
    CharXiv: Inkling scored 82%; Qwen3.5-122B-A10B scored 77.2%. Inkling wins this benchmark.
  5. GPQA

    Knowledge
    Source ↗
    A 87.9%B 86.6%
    Winner: InklingΔ 1.3
    GPQA: Inkling scored 87.9%; Qwen3.5-122B-A10B scored 86.6%. Inkling wins this benchmark.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricInklingQwen3.5-122B-A10BComparison
Input / output priceUSD per 1M tokensInkling$1.87 input / $4.68 outputQwen3.5-122B-A10B$0 input / $0 outputQwen3.5-122B-A10B has the lower combined listed price.
Generation speedtokens per secondInklingNot availableQwen3.5-122B-A10BNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenInklingNot availableQwen3.5-122B-A10BNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensInkling1MQwen3.5-122B-A10B262KInkling lists the larger context window.

Benchmark Deep Dive

AgenticInkling wins
BenchmarkInklingQwen3.5-122B-A10BResult
Terminal-Bench 2.0Source 63.8%49.4%Inkling leads
BrowseCompSource 77.1%63.8%Inkling leads
MCP AtlasSource 74.1%Not comparable
Design Arena Agentic Web DevSource 1258Not comparable
OSWorld-VerifiedSource 58%Not comparable
τ²-bench resultsSource 93.6%Not comparable
AA Agentic IndexSource 20.7%Not comparable
GDPval-AASource 23.9%Not comparable
GDPval-AASource 978Not comparable
CodingQwen3.5-122B-A10B wins
BenchmarkInklingQwen3.5-122B-A10BResult
SWE-bench VerifiedSource 77.6%72%Inkling leads
SWE-bench ProSource 54.3%Not comparable
Terminal-Bench 2.0Source 63.8%Not comparable
AA Coding IndexSource 45.7%Not comparable
Terminal-Bench HardSource 31.1%Not comparable
AA-SciCodeSource 42.0%Not comparable
Reasoning
BenchmarkInklingQwen3.5-122B-A10BResult
LongBench v2Source 60.2%Not comparable
AA-LCRSource 66.7%Not comparable
CritPtSource 0.6%Not comparable
KnowledgeQwen3.5-122B-A10B wins
BenchmarkInklingQwen3.5-122B-A10BResult
GPQASource 87.9%86.6%Inkling leads
GPQA-DSource 87.9%Not comparable
HLESource 46%Not comparable
HLE w/o toolsSource 30%Not comparable
MMLU-ProSource 86.7%Not comparable
SuperGPQASource 67.1%Not comparable
Artificial Analysis Intelligence IndexSource 32.3%Not comparable
AA-GPQA DiamondSource 85.7%Not comparable
AA-HLESource 23.4%Not comparable
AA-Omniscience IndexSource -39.6%Not comparable
AA-Omniscience AccuracySource 24.7%Not comparable
AA-Omniscience Hallucination RateSource 85.5%Not comparable
Math
BenchmarkInklingQwen3.5-122B-A10BResult
AIME26Source 97.1%Not comparable
Multilingual
BenchmarkInklingQwen3.5-122B-A10BResult
MMLU-ProXSource 82.2%Not comparable
MultimodalQwen3.5-122B-A10B wins
BenchmarkInklingQwen3.5-122B-A10BResult
MMMU-ProSource 73.5%Not comparable
CharXivSource 82%77.2%Inkling leads
CharXiv w/o toolsSource 78.1%Not comparable
MMMUSource 83.9%Not comparable
MMVUSource 74.7%Not comparable
MathVisionSource 86.2%Not comparable
V*Source 93.2%Not comparable
AA-MMMU-ProSource 75.0%Not comparable
Inst. FollowingQwen3.5-122B-A10B wins
BenchmarkInklingQwen3.5-122B-A10BResult
IFBenchSource 79.8%Not comparable
IFEvalSource 93.4%Not comparable
AA-IFBenchSource 75.7%Not comparable
Frequently Asked Questions (6)

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

Inkling is ahead on BenchLM's provisional leaderboard, 69 to 59. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 63.8% and 49.4%.

Which is better for knowledge tasks, Inkling or Qwen3.5-122B-A10B?

Qwen3.5-122B-A10B has the edge for knowledge tasks in this comparison, averaging 83.6 versus 51.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.

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

Qwen3.5-122B-A10B has the edge for coding in this comparison, averaging 72 versus 68.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.

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

Inkling has the edge for agentic tasks in this comparison, averaging 69.4 versus 56.4. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.

Which is better for multimodal and grounded tasks, Inkling or Qwen3.5-122B-A10B?

Qwen3.5-122B-A10B has the edge for multimodal and grounded tasks in this comparison, averaging 77.2 versus 76.5. Inside this category, CharXiv is the benchmark that creates the most daylight between them.

Which is better for instruction following, Inkling or Qwen3.5-122B-A10B?

Qwen3.5-122B-A10B has the edge for instruction following in this comparison, averaging 93.4 versus 79.8. Inkling stays close enough that the answer can still flip depending on your workload.

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Last updated: July 15, 2026

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