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Gemini 2.5 Flash Lite vs Beam 1.0 501B A23B

Gemini 2.5 Flash Lite costs 2.8x less per output token than Beam 1.0 501B A23B ($0.40 vs $1.10 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Gemini 2.5 Flash LiteGoogle
Coding
No data
Overall
No data
Output $/M
$0.40
R Beam 1.0 501B A23BReflection
Coding
No data
Overall
No data
Output $/M
$1.10
vs $0.40 vs $1.10 per 1M output tokens. Gemini 2.5 Flash Lite is 2.8x cheaper.

Gemini 2.5 Flash Lite 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 Gemini 2.5 Flash Lite for output tokens 2.8x cheaper ($0.40 vs $1.10 per million).

No benchmark has tested both yet. Gemini 2.5 Flash Lite has results on LiveCodeBench (Vals AI), LiveCodeBench (Artificial Analysis run) and Terminal-Bench Hard (Artificial Analysis 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
Gemini 2.5 Flash Lite 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
Gemini 2.5 Flash Lite $0.40 against Beam 1.0 501B A23B $1.10 per million output tokens, 2.8x apart.
Context window
Both take 1.05M tokens.

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 Index8 boards measured
Coding benchmarks for Gemini 2.5 Flash Lite and Beam 1.0 501B A23B
BenchmarkGemini 2.5 Flash LiteBeam 1.0 501B A23BLeader
LMArena WebDevNot measured1437Only Beam 1.0 501B A23B measured
LiveCodeBench (Vals AI)71.4%Not measuredOnly Gemini 2.5 Flash Lite measured
LiveCodeBench (Artificial Analysis run)59.3%Not measuredOnly Gemini 2.5 Flash Lite measured
Terminal-Bench Hard (Artificial Analysis run)4.5%Not measuredOnly Gemini 2.5 Flash Lite 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 31 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Intelligence benchmarks for Gemini 2.5 Flash Lite and Beam 1.0 501B A23B
BenchmarkGemini 2.5 Flash LiteBeam 1.0 501B A23BLeader
AA Intelligence Index10.4Not measuredOnly Gemini 2.5 Flash Lite measured
Epoch Capabilities Index133.8Not measuredOnly Gemini 2.5 Flash Lite measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Agentic work benchmarks for Gemini 2.5 Flash Lite and Beam 1.0 501B A23B
BenchmarkGemini 2.5 Flash LiteBeam 1.0 501B A23BLeader
τ²-Bench Telecom19.0%Not measuredOnly Gemini 2.5 Flash Lite measured
Berkeley Function Calling Leaderboard (BFCL)36.9%Not measuredOnly Gemini 2.5 Flash Lite measured
Neither model has a result on the other 39 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
Reasoning benchmarks for Gemini 2.5 Flash Lite and Beam 1.0 501B A23B
BenchmarkGemini 2.5 Flash LiteBeam 1.0 501B A23BLeader
GPQA Diamond70.2%Not measuredOnly Gemini 2.5 Flash Lite measured
MMMU Pro (Vals AI)75.4%Not measuredOnly Gemini 2.5 Flash Lite measured
GPQA Diamond (Artificial Analysis run)62.5%Not measuredOnly Gemini 2.5 Flash Lite measured
Humanity's Last Exam (Artificial Analysis run)6.8%Not measuredOnly Gemini 2.5 Flash Lite 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
Kagi LLM Benchmark40.5%Not measuredOnly Gemini 2.5 Flash Lite measured
Neither model has a result on the other 14 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
Math benchmarks for Gemini 2.5 Flash Lite and Beam 1.0 501B A23B
BenchmarkGemini 2.5 Flash LiteBeam 1.0 501B A23BLeader
AIME42.1%Not measuredOnly Gemini 2.5 Flash Lite measured
MGSM (Vals AI)89.5%Not measuredOnly Gemini 2.5 Flash Lite measured
AA Math Index53.3Not measuredOnly Gemini 2.5 Flash Lite measured
AIME 2025 (Artificial Analysis run)53.3%Not measuredOnly Gemini 2.5 Flash Lite 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 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards measured
Knowledge benchmarks for Gemini 2.5 Flash Lite and Beam 1.0 501B A23B
BenchmarkGemini 2.5 Flash LiteBeam 1.0 501B A23BLeader
MMLU Pro79.1%Not measuredOnly Gemini 2.5 Flash Lite measured
LegalBench (Vals AI)82.0%Not measuredOnly Gemini 2.5 Flash Lite measured
CorpFin (Vals AI)57.6%Not measuredOnly Gemini 2.5 Flash Lite measured
TaxEval (Vals AI)66.2%Not measuredOnly Gemini 2.5 Flash Lite measured
MortgageTax (Vals AI)57.6%Not measuredOnly Gemini 2.5 Flash Lite measured
MedQA (Vals AI)88.9%Not measuredOnly Gemini 2.5 Flash Lite measured
MedCode (Vals AI)34.2%Not measuredOnly Gemini 2.5 Flash Lite measured
MMLU Pro (Artificial Analysis run)75.9%Not measuredOnly Gemini 2.5 Flash Lite 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 6 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Web design benchmarks for Gemini 2.5 Flash Lite and Beam 1.0 501B A23B
BenchmarkGemini 2.5 Flash LiteBeam 1.0 501B A23BLeader
Design Arena: websitesNot measured1253Only Beam 1.0 501B A23B measured
Design Arena: game devNot measured1233Only 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 index18 boards measured
General benchmarks for Gemini 2.5 Flash Lite and Beam 1.0 501B A23B
BenchmarkGemini 2.5 Flash LiteBeam 1.0 501B A23BLeader
SAGE (Vals AI)30.8%Not measuredOnly Gemini 2.5 Flash Lite measured
MedScribe (Vals AI)75.8%Not measuredOnly Gemini 2.5 Flash Lite measured
IFBench49.9%Not measuredOnly Gemini 2.5 Flash Lite measured
Long context reasoning (AA-LCR)55.7%Not measuredOnly Gemini 2.5 Flash Lite measured
DTBench62.8%Not measuredOnly Gemini 2.5 Flash Lite measured
LMCA18.1%Not measuredOnly Gemini 2.5 Flash Lite 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 28 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

Gemini 2.5 Flash Lite$0.0003Fits in one request
Beam 1.0 501B A23B$0.0009Fits in one request

Gemini 2.5 Flash Lite costs less

Repository review

50K input + 3K output tokens

Gemini 2.5 Flash Lite$0.0062Fits in one request
Beam 1.0 501B A23B$0.021Fits in one request

Gemini 2.5 Flash Lite costs less

Agent loop

200K input + 10K output tokens

Gemini 2.5 Flash Lite$0.024Fits in one request
Beam 1.0 501B A23B$0.081Fits in one request

Gemini 2.5 Flash Lite 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 Gemini 2.5 Flash Lite and Beam 1.0 501B A23B
SpecificationGoogle Gemini 2.5 Flash LiteReflection Beam 1.0 501B A23B
MakerGoogleReflection
WeightsNo public weights listedOpen weights
ReleasedJuly 22, 2025October 16, 2026
Context window1.05M1.05M
Input $/Mtok$0.10$0.35
Output $/Mtok$0.40$1.10
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it01
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Gemini 2.5 Flash Lite 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 Gemini 2.5 Flash Lite for output tokens 2.8x cheaper ($0.40 vs $1.10 per million).

Which is cheaper, Gemini 2.5 Flash Lite or Beam 1.0 501B A23B?

Gemini 2.5 Flash Lite costs $0.10 per million input tokens and $0.40 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, Gemini 2.5 Flash Lite or Beam 1.0 501B A23B?

Neither: both take 1.05M tokens.

Has any benchmark tested both Gemini 2.5 Flash Lite and Beam 1.0 501B A23B?

No benchmark has tested both yet. Gemini 2.5 Flash Lite has results on LiveCodeBench (Vals AI), LiveCodeBench (Artificial Analysis run) and Terminal-Bench Hard (Artificial Analysis 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 21, 2026.

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