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Ember-1 vs Saba

Saba costs 25.0x less per output token than Ember-1 ($0.60 vs $15.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.

Ember-1Fireworks
Coding
52.6
Overall
No data
Output $/M
$15.00
SabaMistral AI
Coding
No data
Overall
No data
Output $/M
$0.60
vs $15.00 vs $0.60 per 1M output tokens. Saba is 25.0x cheaper.

Ember-1 or Saba: which to pick

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

Pick Saba for output tokens 25.0x cheaper ($0.60 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); Saba on AA Intelligence Index, GPQA Diamond (Artificial Analysis run) 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, Saba 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 Saba $0.60 per million output tokens, 25.0x apart.
Context window
Ember-1 takes 1.05M tokens, Saba 33K.

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 Ember-1 and Saba
BenchmarkEmber-1SabaLeader
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
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 Ember-1 and Saba
BenchmarkEmber-1SabaLeader
AA Intelligence IndexNot measured6.5Only Saba 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 Saba
BenchmarkEmber-1SabaLeader
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 34 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
Reasoning benchmarks for Ember-1 and Saba
BenchmarkEmber-1SabaLeader
MysteryMechanism (Vals AI)22.5%Not measuredOnly Ember-1 measured
GPQA Diamond (Artificial Analysis run)Not measured42.4%Only Saba measured
Humanity's Last Exam (Artificial Analysis run)Not measured4.3%Only Saba measured
Neither model has a result on the other 19 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Knowledge benchmarks for Ember-1 and Saba
BenchmarkEmber-1SabaLeader
MMLU Pro (Artificial Analysis run)Not measured61.1%Only Saba measured
Neither model has a result on the other 17 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
General benchmarks for Ember-1 and Saba
BenchmarkEmber-1SabaLeader
Public Benefits Bench (Vals AI)66.2%Not measuredOnly Ember-1 measured
Neither model has a result on the other 45 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
Saba$0.0005Fits in one request

Saba costs less

Repository review

50K input + 3K output tokens

Ember-1$0.195Fits in one request
Saba$0.012Exceeds the context window

Saba costs less

Agent loop

200K input + 10K output tokens

Ember-1$0.750Fits in one request
Saba$0.046Exceeds the context window

Saba 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 Saba
SpecificationFireworks Ember-1Mistral Saba
MakerFireworksMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 24, 2026February 17, 2025
Context window1.05M33K
Input $/Mtok$3.00$0.20
Output $/Mtok$15.00$0.60
Coding index52.6Not benchmarked
Independent measurements behind it20
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Ember-1 better than Saba for coding?

Only Ember-1 has a coding score, 52.6 on the Vibe Coding Index; Saba has none, so the two cannot be ranked on coding. Pick Saba for output tokens 25.0x cheaper ($0.60 vs $15.00 per million).

Which is cheaper, Ember-1 or Saba?

Ember-1 costs $3.00 per million input tokens and $15.00 per million output tokens; Saba costs $0.20 and $0.60. Cost per solved task is known for neither of them.

Which has the bigger context window, Ember-1 or Saba?

Ember-1, with 1.05M tokens against 33K.

Has any benchmark tested both Ember-1 and Saba?

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); Saba on AA Intelligence Index, GPQA Diamond (Artificial Analysis run) and Humanity's Last Exam (Artificial Analysis run). Compare them on price and context instead. Data as of October 21, 2026.

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