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Model comparison

Inkling vs Qwen2.5-1M

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
Thinking Machines Lab
67.54/100
No comparison
Alibaba
N/A
0 category wins0 category wins

Public leaderboard positions: Inkling #20 (Supported); Qwen2.5-1M #120 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Inkling and Qwen2.5-1M share 0 comparable benchmark results. 0 of 8 categories are comparable. 32 results are unique to Inkling; 0 to Qwen2.5-1M.

Updated July 21, 2026
Shared results
0
Inkling only
32
Qwen2.5-1M only
0
Comparable categories
0 / 8

Benchmark data for Inkling and Qwen2.5-1M is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM does not have sourced benchmark coverage for Qwen2.5-1M yet. This comparison is currently limited to metadata such as context window, reasoning mode, and pricing where available.

Inkling is priced at $1.87 input / $4.68 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen2.5-1M.

Operational comparison

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

MetricInklingQwen2.5-1MComparison
Input / output priceUSD per 1M tokensInkling$1.87 input / $4.68 outputQwen2.5-1M$0 input / $0 outputQwen2.5-1M has the lower combined listed price.
Generation speedtokens per secondInklingNot availableQwen2.5-1MNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenInklingNot availableQwen2.5-1MNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensInkling1MQwen2.5-1M1MListed context windows are equal.

Benchmark Deep Dive

Agentic
BenchmarkInklingQwen2.5-1MResult
Terminal-Bench 2.0Source 63.8%Not comparable
BrowseCompSource 77.1%Not comparable
MCP AtlasSource 74.1%Not comparable
Design Arena Agentic Web DevSource 1257Not comparable
AA Agentic IndexSource 32.3%Not comparable
GDPval-AASource 36.9%Not comparable
GDPval-AASource 1239Not comparable
AA BriefcaseSource 836Not comparable
AA Tau3 BankingSource 23.7%Not comparable
Coding
BenchmarkInklingQwen2.5-1MResult
SWE-bench VerifiedSource 77.6%Not comparable
SWE-bench ProSource 54.3%Not comparable
Terminal-Bench 2.0Source 63.8%Not comparable
AA Coding IndexSource 52.1%Not comparable
AA-SciCodeSource 46.1%Not comparable
Reasoning
BenchmarkInklingQwen2.5-1MResult
AA-LCRSource 63.3%Not comparable
CritPtSource 5.4%Not comparable
Knowledge
BenchmarkInklingQwen2.5-1MResult
GPQASource 87.9%Not comparable
GPQA-DSource 87.9%Not comparable
HLESource 46%Not comparable
HLE w/o toolsSource 30%Not comparable
Artificial Analysis Intelligence IndexSource 40.7%Not comparable
AA-GPQA DiamondSource 87.2%Not comparable
AA-HLESource 29.7%Not comparable
AA-Omniscience IndexSource 2.1%Not comparable
AA-Omniscience AccuracySource 40.0%Not comparable
AA-Omniscience Hallucination RateSource 63.1%Not comparable
Math
BenchmarkInklingQwen2.5-1MResult
AIME26Source 97.1%Not comparable
Multimodal
BenchmarkInklingQwen2.5-1MResult
MMMU-ProSource 73.5%Not comparable
CharXivSource 82%Not comparable
CharXiv w/o toolsSource 78.1%Not comparable
AA-MMMU-ProSource 73.5%Not comparable
Inst. Following
BenchmarkInklingQwen2.5-1MResult
IFBenchSource 79.8%Not comparable
Frequently Asked Questions (3)

Can I compare Inkling and Qwen2.5-1M on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Inkling and Qwen2.5-1M today?

Inkling: $1.87 input / $4.68 output per 1M tokens Qwen2.5-1M: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 21, 2026

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