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Ember-1 vs Solar Pro 4

Solar Pro 4 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
Solar Pro 4Upstage
Coding
No data
Overall
No data
Output $/M
$0.60
vs $15.00 vs $0.60 per 1M output tokens. Solar Pro 4 is 25.0x cheaper.

Ember-1 or Solar Pro 4: which to pick

Only Ember-1 has a coding score, 52.6 on the Vibe Coding Index; Solar Pro 4 has none, so the two cannot be ranked on coding.

Pick Solar Pro 4 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); Solar Pro 4 on LMArena WebDev, AA Coding Index and SciCode. 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, Solar Pro 4 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 Solar Pro 4 $0.60 per million output tokens, 25.0x apart.
Context window
Ember-1 takes 1.05M tokens, Solar Pro 4 524K.

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 Index13 boards measured
Coding benchmarks for Ember-1 and Solar Pro 4
BenchmarkEmber-1Solar Pro 4Leader
LMArena WebDevNot measured1371Only Solar Pro 4 measured
AA Coding IndexNot measured52.7Only Solar Pro 4 measured
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 measured48.0%Only Solar Pro 4 measured
ALE-BenchNot measured179.3Only Solar Pro 4 measured
LMArena Text: codingNot measured1438Only Solar Pro 4 measured
LMArena Text: software and ITNot measured1431Only Solar Pro 4 measured
LMArena WebDev: ReactNot measured1363Only Solar Pro 4 measured
LMArena WebDev: HTMLNot measured1371Only Solar Pro 4 measured
Neither model has a result on the other 26 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
Intelligence benchmarks for Ember-1 and Solar Pro 4
BenchmarkEmber-1Solar Pro 4Leader
AA Intelligence IndexNot measured28.2Only Solar Pro 4 measured
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index8 boards measured
Agentic work benchmarks for Ember-1 and Solar Pro 4
BenchmarkEmber-1Solar Pro 4Leader
Design Arena: agents building web appsNot measured1105Only Solar Pro 4 measured
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 33 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
Reasoning benchmarks for Ember-1 and Solar Pro 4
BenchmarkEmber-1Solar Pro 4Leader
MysteryMechanism (Vals AI)22.5%Not measuredOnly Ember-1 measured
GPQA Diamond (Artificial Analysis run)Not measured89.1%Only Solar Pro 4 measured
Humanity's Last Exam (Artificial Analysis run)Not measured29.8%Only Solar Pro 4 measured
LMArena Text: hard promptsNot measured1400Only Solar Pro 4 measured
LMArena Text: expertNot measured1428Only Solar Pro 4 measured
LMArena Text: hard prompts in EnglishNot measured1427Only Solar Pro 4 measured
Neither model has a result on the other 16 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
Math benchmarks for Ember-1 and Solar Pro 4
BenchmarkEmber-1Solar Pro 4Leader
LMArena Text: mathNot measured1421Only Solar Pro 4 measured
LMArena Text: mathematical workNot measured1427Only Solar Pro 4 measured
Neither model has a result on the other 11 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
Knowledge benchmarks for Ember-1 and Solar Pro 4
BenchmarkEmber-1Solar Pro 4Leader
LMArena Text: scienceNot measured1404Only Solar Pro 4 measured
LMArena Text: medicine and healthcareNot measured1374Only Solar Pro 4 measured
LMArena Text: legal and governmentNot measured1383Only Solar Pro 4 measured
LMArena Text: business and financeNot measured1381Only Solar Pro 4 measured
Neither model has a result on the other 14 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
Web design benchmarks for Ember-1 and Solar Pro 4
BenchmarkEmber-1Solar Pro 4Leader
Design Arena: websitesNot measured1176Only Solar Pro 4 measured
Design Arena: UI componentsNot measured1150Only Solar Pro 4 measured
Design Arena: game devNot measured1170Only Solar Pro 4 measured
Design Arena: data vizNot measured1177Only Solar Pro 4 measured
Design Arena: 3DNot measured1178Only Solar Pro 4 measured
Design Arena: all code categoriesNot measured1182Only Solar Pro 4 measured
Neither model has a result on the other 3 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index19 boards measured
General benchmarks for Ember-1 and Solar Pro 4
BenchmarkEmber-1Solar Pro 4Leader
Public Benefits Bench (Vals AI)66.2%Not measuredOnly Ember-1 measured
Long context reasoning (AA-LCR)Not measured70.7%Only Solar Pro 4 measured
LMArena TextNot measured1388Only Solar Pro 4 measured
LMArena Text: instruction followingNot measured1375Only Solar Pro 4 measured
LMArena Text: creative writingNot measured1317Only Solar Pro 4 measured
LMArena Text: EnglishNot measured1414Only Solar Pro 4 measured
LMArena Text: non-EnglishNot measured1363Only Solar Pro 4 measured
LMArena Text: ChineseNot measured1422Only Solar Pro 4 measured
LMArena Text: GermanNot measured1358Only Solar Pro 4 measured
LMArena Text: JapaneseNot measured1320Only Solar Pro 4 measured
LMArena Text: KoreanNot measured1383Only Solar Pro 4 measured
LMArena Text: FrenchNot measured1400Only Solar Pro 4 measured
LMArena Text: SpanishNot measured1409Only Solar Pro 4 measured
LMArena Text: RussianNot measured1357Only Solar Pro 4 measured
LMArena Text: PolishNot measured1304Only Solar Pro 4 measured
LMArena Text: multi-turnNot measured1385Only Solar Pro 4 measured
LMArena Text: longer queriesNot measured1382Only Solar Pro 4 measured
LMArena Text: writing and languageNot measured1344Only Solar Pro 4 measured
LMArena Text: entertainment and mediaNot measured1332Only Solar Pro 4 measured
Neither model has a result on the other 27 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
Solar Pro 4$0.0004Fits in one request

Solar Pro 4 costs less

Repository review

50K input + 3K output tokens

Ember-1$0.195Fits in one request
Solar Pro 4$0.0093Fits in one request

Solar Pro 4 costs less

Agent loop

200K input + 10K output tokens

Ember-1$0.750Fits in one request
Solar Pro 4$0.036Fits in one request

Solar Pro 4 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 Solar Pro 4
SpecificationFireworks Ember-1Upstage Solar Pro 4
MakerFireworksUpstage
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 24, 2026August 10, 2026
Context window1.05M524K
Input $/Mtok$3.00$0.15
Output $/Mtok$15.00$0.60
Coding index52.6Not benchmarked
Independent measurements behind it21
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Ember-1 better than Solar Pro 4 for coding?

Only Ember-1 has a coding score, 52.6 on the Vibe Coding Index; Solar Pro 4 has none, so the two cannot be ranked on coding. Pick Solar Pro 4 for output tokens 25.0x cheaper ($0.60 vs $15.00 per million).

Which is cheaper, Ember-1 or Solar Pro 4?

Ember-1 costs $3.00 per million input tokens and $15.00 per million output tokens; Solar Pro 4 costs $0.15 and $0.60. Cost per solved task is known for neither of them.

Which has the bigger context window, Ember-1 or Solar Pro 4?

Ember-1, with 1.05M tokens against 524K.

Has any benchmark tested both Ember-1 and Solar Pro 4?

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); Solar Pro 4 on LMArena WebDev, AA Coding Index and SciCode. Compare them on price and context instead. Data as of October 21, 2026.

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