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Model comparison

Gemini 1.5 Pro 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.
35.71/100
No comparison
Alibaba
N/A
0 category wins0 category wins

Public leaderboard positions: Gemini 1.5 Pro #185 (Supported); Qwen2.5-1M #120 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Gemini 1.5 Pro and Qwen2.5-1M share 0 comparable benchmark results. 0 of 8 categories are comparable. 6 results are unique to Gemini 1.5 Pro; 0 to Qwen2.5-1M.

Updated July 22, 2026
Shared results
0
Gemini 1.5 Pro only
6
Qwen2.5-1M only
0
Comparable categories
0 / 8

Benchmark data for Gemini 1.5 Pro 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.

Gemini 1.5 Pro is priced at $1.25 input / $5.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Qwen2.5-1M. Gemini 1.5 Pro has the larger context window at 2M, compared with 1M for Qwen2.5-1M.

Operational comparison

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

MetricGemini 1.5 ProQwen2.5-1MComparison
Input / output priceUSD per 1M tokensGemini 1.5 Pro$1.25 input / $5 outputQwen2.5-1M$0 input / $0 outputQwen2.5-1M has the lower combined listed price.
Generation speedtokens per secondGemini 1.5 ProNot availableQwen2.5-1MNot availableA complete speed comparison is not available.
First-answer latencyseconds to first tokenGemini 1.5 ProNot availableQwen2.5-1MNot availableA complete latency comparison is not available.
Context windowmaximum listed tokensGemini 1.5 Pro2MQwen2.5-1M1MGemini 1.5 Pro lists the larger context window.

Benchmark Deep Dive

Coding
BenchmarkGemini 1.5 ProQwen2.5-1MResult
AA Coding IndexSource 23.6%Not comparable
AA-SciCodeSource 29.5%Not comparable
Knowledge
BenchmarkGemini 1.5 ProQwen2.5-1MResult
Artificial Analysis Intelligence IndexSource 10.0%Not comparable
AA-GPQA DiamondSource 58.9%Not comparable
AA-HLESource 4.9%Not comparable
Multimodal
BenchmarkGemini 1.5 ProQwen2.5-1MResult
AA-MMMU-ProSource 55.0%Not comparable
Frequently Asked Questions (3)

Can I compare Gemini 1.5 Pro 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 Gemini 1.5 Pro and Qwen2.5-1M today?

Gemini 1.5 Pro: $1.25 input / $5.00 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 22, 2026

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