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Nex-N2.5-Pro vs Qwen-Plus

Nex-N2.5-Pro costs 3.1x less per output token than Qwen-Plus ($0.25 vs $0.78 per million). Updated October 22, 2026; no benchmark has tested both models yet.

N Nex-N2.5-ProNex AGI
Coding
No data
Overall
No data
Output $/M
$0.25
Qwen-PlusQwen
Coding
No data
Overall
No data
Output $/M
$0.78
vs $0.25 vs $0.78 per 1M output tokens. Nex-N2.5-Pro is 3.1x cheaper.

Nex-N2.5-Pro or Qwen-Plus: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Nex-N2.5-Pro for output tokens 3.1x cheaper ($0.25 vs $0.78 per million).

No benchmark has tested both yet. Nex-N2.5-Pro has none yet; Qwen-Plus on LMArena Text: coding, LMArena Text: software and IT and GPQA Diamond (Epoch AI run). Compare them on price and context instead.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Nex-N2.5-Pro not benchmarked, Qwen-Plus not benchmarked.
Widest category
None yet: no category has been tested on both models.
Widest single gap
None yet: no benchmark has tested both models.
Output price
Nex-N2.5-Pro $0.25 against Qwen-Plus $0.78 per million output tokens, 3.1x apart.
Context window
Nex-N2.5-Pro takes 262K tokens, Qwen-Plus 1M.

Benchmark by benchmark

Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.

CodingDirectional onlySix of these boards feed the Vibe Coding Index2 boards measured
Coding benchmarks for Nex-N2.5-Pro and Qwen-Plus
BenchmarkNex-N2.5-ProQwen-PlusLeader
LMArena Text: codingNot measured1328Only Qwen-Plus measured
LMArena Text: software and ITNot measured1343Only Qwen-Plus measured
Neither model has a result on the other 37 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Reasoning benchmarks for Nex-N2.5-Pro and Qwen-Plus
BenchmarkNex-N2.5-ProQwen-PlusLeader
GPQA Diamond (Epoch AI run)Not measured48.1%Only Qwen-Plus measured
LMArena Text: hard promptsNot measured1317Only Qwen-Plus measured
LMArena Text: expertNot measured1328Only Qwen-Plus measured
LMArena Text: hard prompts in EnglishNot measured1333Only Qwen-Plus measured
Neither model has a result on the other 18 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Math benchmarks for Nex-N2.5-Pro and Qwen-Plus
BenchmarkNex-N2.5-ProQwen-PlusLeader
OTIS Mock AIMENot measured17.8%Only Qwen-Plus measured
MATH level 5Not measured65.3%Only Qwen-Plus measured
LMArena Text: mathNot measured1326Only Qwen-Plus measured
LMArena Text: mathematical workNot measured1332Only Qwen-Plus measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Knowledge benchmarks for Nex-N2.5-Pro and Qwen-Plus
BenchmarkNex-N2.5-ProQwen-PlusLeader
LMArena Text: scienceNot measured1352Only Qwen-Plus measured
LMArena Text: medicine and healthcareNot measured1350Only Qwen-Plus measured
LMArena Text: legal and governmentNot measured1349Only Qwen-Plus measured
LMArena Text: business and financeNot measured1303Only Qwen-Plus measured
Neither model has a result on the other 14 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index14 boards measured
General benchmarks for Nex-N2.5-Pro and Qwen-Plus
BenchmarkNex-N2.5-ProQwen-PlusLeader
DTBenchNot measured81.1%Only Qwen-Plus measured
LMCANot measured24.0%Only Qwen-Plus measured
LMArena TextNot measured1326Only Qwen-Plus measured
LMArena Text: instruction followingNot measured1303Only Qwen-Plus measured
LMArena Text: creative writingNot measured1292Only Qwen-Plus measured
LMArena Text: EnglishNot measured1339Only Qwen-Plus measured
LMArena Text: non-EnglishNot measured1310Only Qwen-Plus measured
LMArena Text: ChineseNot measured1347Only Qwen-Plus measured
LMArena Text: JapaneseNot measured1251Only Qwen-Plus measured
LMArena Text: RussianNot measured1323Only Qwen-Plus measured
LMArena Text: multi-turnNot measured1336Only Qwen-Plus measured
LMArena Text: longer queriesNot measured1324Only Qwen-Plus measured
LMArena Text: writing and languageNot measured1296Only Qwen-Plus measured
LMArena Text: entertainment and mediaNot measured1270Only Qwen-Plus measured
Neither model has a result on the other 32 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Nex-N2.5-Pro$0.0002Fits in one request
Qwen-Plus$0.0006Fits in one request

Nex-N2.5-Pro costs less

Repository review

50K input + 3K output tokens

Nex-N2.5-Pro$0.0045Fits in one request
Qwen-Plus$0.015Fits in one request

Nex-N2.5-Pro costs less

Agent loop

200K input + 10K output tokens

Nex-N2.5-Pro$0.018Fits in one request
Qwen-Plus$0.060Fits in one request

Nex-N2.5-Pro costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Nex-N2.5-Pro and Qwen-Plus
SpecificationNex AGI Nex-N2.5-ProQwen-Plus
MakerNex AGIQwen
WeightsOpen weightsNo public weights listed
ReleasedSeptember 8, 2026February 1, 2025
Context window262K1M
Input $/Mtok$0.075$0.26
Output $/Mtok$0.25$0.78
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Nex-N2.5-Pro better than Qwen-Plus for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nex-N2.5-Pro for output tokens 3.1x cheaper ($0.25 vs $0.78 per million).

Which is cheaper, Nex-N2.5-Pro or Qwen-Plus?

Nex-N2.5-Pro costs $0.075 per million input tokens and $0.25 per million output tokens; Qwen-Plus costs $0.26 and $0.78. Cost per solved task is known for neither of them.

Which has the bigger context window, Nex-N2.5-Pro or Qwen-Plus?

Qwen-Plus, with 1M tokens against 262K.

Has any benchmark tested both Nex-N2.5-Pro and Qwen-Plus?

No benchmark has tested both yet. Nex-N2.5-Pro has none yet; Qwen-Plus on LMArena Text: coding, LMArena Text: software and IT and GPQA Diamond (Epoch AI run). Compare them on price and context instead. Data as of October 22, 2026.

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