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Ember-1 vs Ling 3.1 Flash

Ling 3.1 Flash costs 66.7x less per output token than Ember-1 ($0.225 vs $15.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.

Ember-1Fireworks
Coding
52.6
Overall
No data
Output $/M
$15.00
Ling 3.1 FlashinclusionAI
Coding
No data
Overall
No data
Output $/M
$0.225
vs $15.00 vs $0.225 per 1M output tokens. Ling 3.1 Flash is 66.7x cheaper.

Ember-1 or Ling 3.1 Flash: which to pick

Only Ember-1 has a coding score, 52.6 on the Vibe Coding Index; Ling 3.1 Flash has none, so the two cannot be ranked on coding.

Pick Ling 3.1 Flash for output tokens 66.7x cheaper ($0.225 vs $15.00 per million).

No benchmark has tested both yet. Ember-1 has results on Terminal-Bench 4 (Vals AI), Vibe Code Bench (Vals AI) and Code migration (Vals AI); Ling 3.1 Flash on SciCode, AA Intelligence Index and Humanity's Last Exam (Artificial Analysis 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
Ember-1 52.6 from 2 benchmarks, Ling 3.1 Flash 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
Ember-1 $15.00 against Ling 3.1 Flash $0.225 per million output tokens, 66.7x apart.
Context window
Ember-1 takes 1.05M tokens, Ling 3.1 Flash 262K.

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 Index6 boards measured
Coding benchmarks for Ember-1 and Ling 3.1 Flash
BenchmarkEmber-1Ling 3.1 FlashLeader
Terminal-Bench 4 (Vals AI)20.7%Not measuredOnly Ember-1 measured
Vibe Code Bench (Vals AI)83.9%Not measuredOnly Ember-1 measured
Code migration (Vals AI)32.5%Not measuredOnly Ember-1 measured
IOI (Vals AI)46.3%Not measuredOnly Ember-1 measured
CyberBench (Vals AI)69.5%Not measuredOnly Ember-1 measured
SciCodeNot measured54.1%Only Ling 3.1 Flash measured
Neither model has a result on the other 37 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Ember-1 and Ling 3.1 Flash
BenchmarkEmber-1Ling 3.1 FlashLeader
AA Intelligence IndexNot measured41.1Only Ling 3.1 Flash measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
Agentic work benchmarks for Ember-1 and Ling 3.1 Flash
BenchmarkEmber-1Ling 3.1 FlashLeader
Finance Agent (Vals AI)51.8%Not measuredOnly Ember-1 measured
Tax Agent Bench (Vals AI)31.1%Not measuredOnly Ember-1 measured
Legal Research Bench (Vals AI)44.7%Not measuredOnly Ember-1 measured
Excel Modeling Benchmark (Vals AI)63.4%Not measuredOnly Ember-1 measured
BioMysteryBench (Vals AI)67.0%Not measuredOnly Ember-1 measured
Terminal-Bench-Science (Vals AI)5.7%Not measuredOnly Ember-1 measured
Vals Science Index31.8%Not measuredOnly Ember-1 measured
Neither model has a result on the other 35 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Reasoning benchmarks for Ember-1 and Ling 3.1 Flash
BenchmarkEmber-1Ling 3.1 FlashLeader
MysteryMechanism (Vals AI)22.5%Not measuredOnly Ember-1 measured
Humanity's Last Exam (Artificial Analysis run)Not measured39.4%Only Ling 3.1 Flash measured
Neither model has a result on the other 21 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
General benchmarks for Ember-1 and Ling 3.1 Flash
BenchmarkEmber-1Ling 3.1 FlashLeader
Public Benefits Bench (Vals AI)66.2%Not measuredOnly Ember-1 measured
Long context reasoning (AA-LCR)Not measured83.0%Only Ling 3.1 Flash measured
Neither model has a result on the other 46 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

Ember-1$0.011Fits in one request
Ling 3.1 Flash$0.0002Fits in one request

Ling 3.1 Flash costs less

Repository review

50K input + 3K output tokens

Ember-1$0.195Fits in one request
Ling 3.1 Flash$0.0044Fits in one request

Ling 3.1 Flash costs less

Agent loop

200K input + 10K output tokens

Ember-1$0.750Fits in one request
Ling 3.1 Flash$0.017Fits in one request

Ling 3.1 Flash 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 Ember-1 and Ling 3.1 Flash
SpecificationFireworks Ember-1inclusionAI Ling 3.1 Flash
MakerFireworksinclusionAI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 24, 2026October 2, 2026
Context window1.05M262K
Input $/Mtok$3.00$0.075
Output $/Mtok$15.00$0.225
Coding index52.6Not benchmarked
Independent measurements behind it20
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Ember-1 better than Ling 3.1 Flash for coding?

Only Ember-1 has a coding score, 52.6 on the Vibe Coding Index; Ling 3.1 Flash has none, so the two cannot be ranked on coding. Pick Ling 3.1 Flash for output tokens 66.7x cheaper ($0.225 vs $15.00 per million).

Which is cheaper, Ember-1 or Ling 3.1 Flash?

Ember-1 costs $3.00 per million input tokens and $15.00 per million output tokens; Ling 3.1 Flash costs $0.075 and $0.225. Cost per solved task is known for neither of them.

Which has the bigger context window, Ember-1 or Ling 3.1 Flash?

Ember-1, with 1.05M tokens against 262K.

Has any benchmark tested both Ember-1 and Ling 3.1 Flash?

No benchmark has tested both yet. Ember-1 has results on Terminal-Bench 4 (Vals AI), Vibe Code Bench (Vals AI) and Code migration (Vals AI); Ling 3.1 Flash on SciCode, AA Intelligence Index and Humanity's Last Exam (Artificial Analysis run). Compare them on price and context instead. Data as of October 22, 2026.

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