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Qwen2.5 7B Instruct vs Beam 1.0 501B A23B

Qwen2.5 7B Instruct costs 5.5x less per output token than Beam 1.0 501B A23B ($0.20 vs $1.10 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Qwen2.5 7B InstructQwen
Coding
No data
Overall
No data
Output $/M
$0.20
R Beam 1.0 501B A23BReflection
Coding
No data
Overall
No data
Output $/M
$1.10
vs $0.20 vs $1.10 per 1M output tokens. Qwen2.5 7B Instruct is 5.5x cheaper.

Qwen2.5 7B Instruct or Beam 1.0 501B A23B: which to pick

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

Pick Qwen2.5 7B Instruct for output tokens 5.5x cheaper ($0.20 vs $1.10 per million).

No benchmark has tested both yet. Qwen2.5 7B Instruct has results on Epoch Capabilities Index, BALROG and GPQA Diamond (Epoch AI run); Beam 1.0 501B A23B on LMArena WebDev, LMArena Text: coding and LMArena Text: software and IT. 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
Qwen2.5 7B Instruct not benchmarked, Beam 1.0 501B A23B 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
Qwen2.5 7B Instruct $0.20 against Beam 1.0 501B A23B $1.10 per million output tokens, 5.5x apart.
Context window
Qwen2.5 7B Instruct takes 33K tokens, Beam 1.0 501B A23B 1.05M.

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 Index5 boards measured
Coding benchmarks for Qwen2.5 7B Instruct and Beam 1.0 501B A23B
BenchmarkQwen2.5 7B InstructBeam 1.0 501B A23BLeader
LMArena WebDevNot measured1437Only Beam 1.0 501B A23B measured
LMArena Text: codingNot measured1473Only Beam 1.0 501B A23B measured
LMArena Text: software and ITNot measured1461Only Beam 1.0 501B A23B measured
LMArena WebDev: ReactNot measured1443Only Beam 1.0 501B A23B measured
LMArena WebDev: HTMLNot measured1436Only Beam 1.0 501B A23B measured
Neither model has a result on the other 34 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Qwen2.5 7B Instruct and Beam 1.0 501B A23B
BenchmarkQwen2.5 7B InstructBeam 1.0 501B A23BLeader
Epoch Capabilities Index118.5Not measuredOnly Qwen2.5 7B Instruct measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Agentic work benchmarks for Qwen2.5 7B Instruct and Beam 1.0 501B A23B
BenchmarkQwen2.5 7B InstructBeam 1.0 501B A23BLeader
BALROG7.8%Not measuredOnly Qwen2.5 7B Instruct measured
Neither model has a result on the other 40 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Reasoning benchmarks for Qwen2.5 7B Instruct and Beam 1.0 501B A23B
BenchmarkQwen2.5 7B InstructBeam 1.0 501B A23BLeader
GPQA Diamond (Epoch AI run)35.5%Not measuredOnly Qwen2.5 7B Instruct measured
LMArena Text: hard promptsNot measured1442Only Beam 1.0 501B A23B measured
LMArena Text: expertNot measured1447Only Beam 1.0 501B A23B measured
LMArena Text: hard prompts in EnglishNot measured1451Only Beam 1.0 501B A23B measured
Neither model has a result on the other 18 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Math benchmarks for Qwen2.5 7B Instruct and Beam 1.0 501B A23B
BenchmarkQwen2.5 7B InstructBeam 1.0 501B A23BLeader
OTIS Mock AIME2.5%Not measuredOnly Qwen2.5 7B Instruct measured
LMArena Text: mathNot measured1459Only Beam 1.0 501B A23B measured
LMArena Text: mathematical workNot measured1475Only Beam 1.0 501B A23B measured
Neither model has a result on the other 10 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Knowledge benchmarks for Qwen2.5 7B Instruct and Beam 1.0 501B A23B
BenchmarkQwen2.5 7B InstructBeam 1.0 501B A23BLeader
MMLU72.9%Not measuredOnly Qwen2.5 7B Instruct measured
LMArena Text: scienceNot measured1430Only Beam 1.0 501B A23B measured
LMArena Text: medicine and healthcareNot measured1376Only Beam 1.0 501B A23B measured
LMArena Text: legal and governmentNot measured1433Only Beam 1.0 501B A23B measured
LMArena Text: business and financeNot measured1430Only Beam 1.0 501B A23B measured
Neither model has a result on the other 13 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Web design benchmarks for Qwen2.5 7B Instruct and Beam 1.0 501B A23B
BenchmarkQwen2.5 7B InstructBeam 1.0 501B A23BLeader
Design Arena: websitesNot measured1250Only Beam 1.0 501B A23B measured
Design Arena: game devNot measured1224Only Beam 1.0 501B A23B measured
Neither model has a result on the other 7 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index14 boards measured
General benchmarks for Qwen2.5 7B Instruct and Beam 1.0 501B A23B
BenchmarkQwen2.5 7B InstructBeam 1.0 501B A23BLeader
DTBench47.7%Not measuredOnly Qwen2.5 7B Instruct measured
LMCA6.4%Not measuredOnly Qwen2.5 7B Instruct measured
LMArena TextNot measured1425Only Beam 1.0 501B A23B measured
LMArena Text: instruction followingNot measured1430Only Beam 1.0 501B A23B measured
LMArena Text: creative writingNot measured1390Only Beam 1.0 501B A23B measured
LMArena Text: EnglishNot measured1436Only Beam 1.0 501B A23B measured
LMArena Text: non-EnglishNot measured1413Only Beam 1.0 501B A23B measured
LMArena Text: ChineseNot measured1424Only Beam 1.0 501B A23B measured
LMArena Text: FrenchNot measured1461Only Beam 1.0 501B A23B measured
LMArena Text: RussianNot measured1412Only Beam 1.0 501B A23B measured
LMArena Text: multi-turnNot measured1414Only Beam 1.0 501B A23B measured
LMArena Text: longer queriesNot measured1429Only Beam 1.0 501B A23B measured
LMArena Text: writing and languageNot measured1400Only Beam 1.0 501B A23B measured
LMArena Text: entertainment and mediaNot measured1399Only Beam 1.0 501B A23B 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

Qwen2.5 7B Instruct$0.0002Fits in one request
Beam 1.0 501B A23B$0.0009Fits in one request

Qwen2.5 7B Instruct costs less

Repository review

50K input + 3K output tokens

Qwen2.5 7B Instruct$0.0056Exceeds the context window
Beam 1.0 501B A23B$0.021Fits in one request

Qwen2.5 7B Instruct costs less

Agent loop

200K input + 10K output tokens

Qwen2.5 7B Instruct$0.022Exceeds the context window
Beam 1.0 501B A23B$0.081Fits in one request

Qwen2.5 7B Instruct 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 Qwen2.5 7B Instruct and Beam 1.0 501B A23B
SpecificationQwen2.5 7B InstructReflection Beam 1.0 501B A23B
MakerQwenReflection
WeightsOpen weightsOpen weights
ReleasedOctober 16, 2024October 16, 2026
Context window33K1.05M
Input $/Mtok$0.10$0.35
Output $/Mtok$0.20$1.10
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Qwen2.5 7B Instruct better than Beam 1.0 501B A23B for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen2.5 7B Instruct for output tokens 5.5x cheaper ($0.20 vs $1.10 per million).

Which is cheaper, Qwen2.5 7B Instruct or Beam 1.0 501B A23B?

Qwen2.5 7B Instruct costs $0.10 per million input tokens and $0.20 per million output tokens; Beam 1.0 501B A23B costs $0.35 and $1.10. Cost per solved task is known for neither of them.

Which has the bigger context window, Qwen2.5 7B Instruct or Beam 1.0 501B A23B?

Beam 1.0 501B A23B, with 1.05M tokens against 33K.

Has any benchmark tested both Qwen2.5 7B Instruct and Beam 1.0 501B A23B?

No benchmark has tested both yet. Qwen2.5 7B Instruct has results on Epoch Capabilities Index, BALROG and GPQA Diamond (Epoch AI run); Beam 1.0 501B A23B on LMArena WebDev, LMArena Text: coding and LMArena Text: software and IT. Compare them on price and context instead. Data as of October 22, 2026.

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