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Mercury 3 vs Ling 3.0 Flash VL

Ling 3.0 Flash VL costs 1.9x less per output token than Mercury 3 ($0.18 vs $0.35 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Mercury 3Inception
Coding
No data
Overall
No data
Output $/M
$0.35
Ling 3.0 Flash VLinclusionAI
Coding
No data
Overall
No data
Output $/M
$0.18
vs $0.35 vs $0.18 per 1M output tokens. Ling 3.0 Flash VL is 1.9x cheaper.

Mercury 3 or Ling 3.0 Flash VL: which to pick

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

Pick Mercury 3 for a larger context window (1M against 131K tokens).

No benchmark has tested both yet. Mercury 3 has results on Design Arena: websites, Design Arena: UI components and Design Arena: game dev; Ling 3.0 Flash VL on AA Coding Index, SciCode and AA Intelligence Index. 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
Mercury 3 not benchmarked, Ling 3.0 Flash VL 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
Mercury 3 $0.35 against Ling 3.0 Flash VL $0.18 per million output tokens, 1.9x apart.
Context window
Mercury 3 takes 1M tokens, Ling 3.0 Flash VL 131K.

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 Mercury 3 and Ling 3.0 Flash VL
BenchmarkMercury 3Ling 3.0 Flash VLLeader
AA Coding IndexNot measured57.0Only Ling 3.0 Flash VL measured
SciCodeNot measured44.2%Only Ling 3.0 Flash VL measured
Neither model has a result on the other 41 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Mercury 3 and Ling 3.0 Flash VL
BenchmarkMercury 3Ling 3.0 Flash VLLeader
AA Intelligence IndexNot measured24.6Only Ling 3.0 Flash VL 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 Mercury 3 and Ling 3.0 Flash VL
BenchmarkMercury 3Ling 3.0 Flash VLLeader
AA Agentic IndexNot measured28.7Only Ling 3.0 Flash VL measured
Neither model has a result on the other 41 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Reasoning benchmarks for Mercury 3 and Ling 3.0 Flash VL
BenchmarkMercury 3Ling 3.0 Flash VLLeader
GPQA Diamond (Artificial Analysis run)Not measured86.2%Only Ling 3.0 Flash VL measured
Humanity's Last Exam (Artificial Analysis run)Not measured22.0%Only Ling 3.0 Flash VL measured
Neither model has a result on the other 21 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
Web design benchmarks for Mercury 3 and Ling 3.0 Flash VL
BenchmarkMercury 3Ling 3.0 Flash VLLeader
Design Arena: websites1229Not measuredOnly Mercury 3 measured
Design Arena: UI components1247Not measuredOnly Mercury 3 measured
Design Arena: game dev1225Not measuredOnly Mercury 3 measured
Design Arena: data viz1205Not measuredOnly Mercury 3 measured
Design Arena: all code categories1231Not measuredOnly Mercury 3 measured
Neither model has a result on the other 4 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
General benchmarks for Mercury 3 and Ling 3.0 Flash VL
BenchmarkMercury 3Ling 3.0 Flash VLLeader
Long context reasoning (AA-LCR)Not measured78.3%Only Ling 3.0 Flash VL measured
Neither model has a result on the other 47 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

Mercury 3$0.0003Fits in one request
Ling 3.0 Flash VL$0.0001Fits in one request

Ling 3.0 Flash VL costs less

Repository review

50K input + 3K output tokens

Mercury 3$0.0060Fits in one request
Ling 3.0 Flash VL$0.0035Fits in one request

Ling 3.0 Flash VL costs less

Agent loop

200K input + 10K output tokens

Mercury 3$0.024Fits in one request
Ling 3.0 Flash VL$0.014Exceeds the context window

Ling 3.0 Flash VL 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 Mercury 3 and Ling 3.0 Flash VL
SpecificationInception Mercury 3inclusionAI Ling 3.0 Flash VL
MakerInceptioninclusionAI
WeightsNo public weights listedOpen weights
ReleasedOctober 16, 2026September 10, 2026
Context window1M131K
Input $/Mtok$0.10$0.06
Output $/Mtok$0.35$0.18
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Mercury 3 better than Ling 3.0 Flash VL for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mercury 3 for a larger context window (1M against 131K tokens).

Which is cheaper, Mercury 3 or Ling 3.0 Flash VL?

Mercury 3 costs $0.10 per million input tokens and $0.35 per million output tokens; Ling 3.0 Flash VL costs $0.06 and $0.18. Cost per solved task is known for neither of them.

Which has the bigger context window, Mercury 3 or Ling 3.0 Flash VL?

Mercury 3, with 1M tokens against 131K.

Has any benchmark tested both Mercury 3 and Ling 3.0 Flash VL?

No benchmark has tested both yet. Mercury 3 has results on Design Arena: websites, Design Arena: UI components and Design Arena: game dev; Ling 3.0 Flash VL on AA Coding Index, SciCode and AA Intelligence Index. Compare them on price and context instead. Data as of October 22, 2026.

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