Ember-1 vs Gemini 2.5 Flash
Gemini 2.5 Flash costs 6.0x less per output token than Ember-1 ($2.50 vs $15.00 per million). Updated October 21, 2026; no benchmark has tested both models yet.
- Coding
- 52.6
- Overall
- No data
- Output $/M
- $15.00
- Coding
- No data
- Overall
- 15.5
- Output $/M
- $2.50
Ember-1 or Gemini 2.5 Flash: which to pick
Only Ember-1 has a coding score, 52.6 on the Vibe Coding Index; Gemini 2.5 Flash has none, so the two cannot be ranked on coding.
Pick Gemini 2.5 Flash for output tokens 6.0x cheaper ($2.50 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); Gemini 2.5 Flash on SWE-bench Verified, LiveCodeBench (Artificial Analysis run) and Terminal-Bench Hard (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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Ember-1 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
No call
Only Gemini 2.5 Flash has a AA Intelligence Index result, 15.5.
Directional only
Web design
Design Arena: websites
No call
Only Gemini 2.5 Flash has a Design Arena: websites result, 1074.
Directional only
Long documents
Listed context window
No call
Both take 1.05M tokens.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 2.5 Flash
Ember-1 $0.011, Gemini 2.5 Flash $0.0015 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Gemini 2.5 Flash has the number, $0.466.
Directional only
At a glance
- Coding index
- Ember-1 52.6 from 2 benchmarks, Gemini 2.5 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 Gemini 2.5 Flash $2.50 per million output tokens, 6.0x 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 Index11 boards measured
| Benchmark | Ember-1 | Gemini 2.5 Flash | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 28.7% | Only Gemini 2.5 Flash measured |
| Terminal-Bench 4 (Vals AI) | 20.7% | Not measured | Only Ember-1 measured |
| Vibe Code Bench (Vals AI) | 83.9% | Not measured | Only Ember-1 measured |
| Code migration (Vals AI) | 32.5% | Not measured | Only Ember-1 measured |
| IOI (Vals AI) | 46.3% | Not measured | Only Ember-1 measured |
| CyberBench (Vals AI) | 69.5% | Not measured | Only Ember-1 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 69.5% | Only Gemini 2.5 Flash measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 13.6% | Only Gemini 2.5 Flash measured |
| Terminal-Bench | Not measured | 17.1% | Only Gemini 2.5 Flash measured |
| LMArena Text: coding | Not measured | 1423 | Only Gemini 2.5 Flash measured |
| LMArena Text: software and IT | Not measured | 1425 | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 27 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Ember-1 | Gemini 2.5 Flash | Leader |
|---|---|---|---|
| AA Intelligence Index | Not measured | 15.5 | Only Gemini 2.5 Flash measured |
| Epoch Capabilities Index | Not measured | 142.9 | Only Gemini 2.5 Flash measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index10 boards measured
| Benchmark | Ember-1 | Gemini 2.5 Flash | Leader |
|---|---|---|---|
| Finance Agent (Vals AI) | 51.8% | Not measured | Only Ember-1 measured |
| Tax Agent Bench (Vals AI) | 31.1% | Not measured | Only Ember-1 measured |
| Legal Research Bench (Vals AI) | 44.7% | Not measured | Only Ember-1 measured |
| Excel Modeling Benchmark (Vals AI) | 63.4% | Not measured | Only Ember-1 measured |
| BioMysteryBench (Vals AI) | 67.0% | Not measured | Only Ember-1 measured |
| Terminal-Bench-Science (Vals AI) | 5.7% | Not measured | Only Ember-1 measured |
| Vals Science Index | 31.8% | Not measured | Only Ember-1 measured |
| τ²-Bench Telecom | Not measured | 31.6% | Only Gemini 2.5 Flash measured |
| BALROG | Not measured | 33.5% | Only Gemini 2.5 Flash measured |
| Vending-Bench 2 | Not measured | $549 | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 29 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index11 boards measured
| Benchmark | Ember-1 | Gemini 2.5 Flash | Leader |
|---|---|---|---|
| MysteryMechanism (Vals AI) | 22.5% | Not measured | Only Ember-1 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 79.0% | Only Gemini 2.5 Flash measured |
| Humanity's Last Exam (Artificial Analysis run) | Not measured | 12.1% | Only Gemini 2.5 Flash measured |
| ARC-AGI | Not measured | 33.3% | Only Gemini 2.5 Flash measured |
| ARC-AGI-2 | Not measured | 2.5% | Only Gemini 2.5 Flash measured |
| SimpleBench | Not measured | 41.2% | Only Gemini 2.5 Flash measured |
| LMArena Text: hard prompts | Not measured | 1422 | Only Gemini 2.5 Flash measured |
| LMArena Text: expert | Not measured | 1426 | Only Gemini 2.5 Flash measured |
| LMArena Text: hard prompts in English | Not measured | 1420 | Only Gemini 2.5 Flash measured |
| LMArena Vision: diagrams | Not measured | 1245 | Only Gemini 2.5 Flash measured |
| LMArena Vision: homework | Not measured | 1244 | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 10 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | Ember-1 | Gemini 2.5 Flash | Leader |
|---|---|---|---|
| AA Math Index | Not measured | 73.3 | Only Gemini 2.5 Flash measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 73.3% | Only Gemini 2.5 Flash measured |
| LMArena Text: math | Not measured | 1411 | Only Gemini 2.5 Flash measured |
| LMArena Text: mathematical work | Not measured | 1422 | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 9 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
| Benchmark | Ember-1 | Gemini 2.5 Flash | Leader |
|---|---|---|---|
| MedCode (Vals AI) | Not measured | 40.4% | Only Gemini 2.5 Flash measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 83.2% | Only Gemini 2.5 Flash measured |
| LMArena Text: science | Not measured | 1433 | Only Gemini 2.5 Flash measured |
| LMArena Text: medicine and healthcare | Not measured | 1428 | Only Gemini 2.5 Flash measured |
| LMArena Text: legal and government | Not measured | 1430 | Only Gemini 2.5 Flash measured |
| LMArena Text: business and finance | Not measured | 1404 | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 11 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards measured
| Benchmark | Ember-1 | Gemini 2.5 Flash | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1074 | Only Gemini 2.5 Flash measured |
| Design Arena: UI components | Not measured | 1005 | Only Gemini 2.5 Flash measured |
| Design Arena: game dev | Not measured | 1005 | Only Gemini 2.5 Flash measured |
| Design Arena: data viz | Not measured | 1060 | Only Gemini 2.5 Flash measured |
| Design Arena: 3D | Not measured | 1021 | Only Gemini 2.5 Flash measured |
| Design Arena: all code categories | Not measured | 1059 | Only Gemini 2.5 Flash measured |
| Design Arena: SVG | Not measured | 1020 | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 2 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index32 boards measured
| Benchmark | Ember-1 | Gemini 2.5 Flash | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 66.2% | Not measured | Only Ember-1 measured |
| SAGE (Vals AI) | Not measured | 44.8% | Only Gemini 2.5 Flash measured |
| MedScribe (Vals AI) | Not measured | 83.0% | Only Gemini 2.5 Flash measured |
| IFBench | Not measured | 50.3% | Only Gemini 2.5 Flash measured |
| Long context reasoning (AA-LCR) | Not measured | 65.3% | Only Gemini 2.5 Flash measured |
| DTBench | Not measured | 76.5% | Only Gemini 2.5 Flash measured |
| LMCA | Not measured | 27.5% | Only Gemini 2.5 Flash measured |
| LMArena Text | Not measured | 1417 | Only Gemini 2.5 Flash measured |
| LMArena Text: instruction following | Not measured | 1405 | Only Gemini 2.5 Flash measured |
| LMArena Text: creative writing | Not measured | 1400 | Only Gemini 2.5 Flash measured |
| LMArena Vision | Not measured | 1235 | Only Gemini 2.5 Flash measured |
| LMArena Text: English | Not measured | 1418 | Only Gemini 2.5 Flash measured |
| LMArena Text: non-English | Not measured | 1409 | Only Gemini 2.5 Flash measured |
| LMArena Text: Chinese | Not measured | 1449 | Only Gemini 2.5 Flash measured |
| LMArena Text: German | Not measured | 1417 | Only Gemini 2.5 Flash measured |
| LMArena Text: Japanese | Not measured | 1396 | Only Gemini 2.5 Flash measured |
| LMArena Text: Korean | Not measured | 1385 | Only Gemini 2.5 Flash measured |
| LMArena Text: French | Not measured | 1432 | Only Gemini 2.5 Flash measured |
| LMArena Text: Spanish | Not measured | 1422 | Only Gemini 2.5 Flash measured |
| LMArena Text: Russian | Not measured | 1415 | Only Gemini 2.5 Flash measured |
| LMArena Text: Polish | Not measured | 1413 | Only Gemini 2.5 Flash measured |
| LMArena Text: multi-turn | Not measured | 1408 | Only Gemini 2.5 Flash measured |
| LMArena Text: longer queries | Not measured | 1419 | Only Gemini 2.5 Flash measured |
| LMArena Text: writing and language | Not measured | 1405 | Only Gemini 2.5 Flash measured |
| LMArena Text: entertainment and media | Not measured | 1393 | Only Gemini 2.5 Flash measured |
| LMArena Vision: English | Not measured | 1239 | Only Gemini 2.5 Flash measured |
| LMArena Vision: Chinese | Not measured | 1284 | Only Gemini 2.5 Flash measured |
| LMArena Vision: reading text | Not measured | 1237 | Only Gemini 2.5 Flash measured |
| LMArena Vision: humor | Not measured | 1225 | Only Gemini 2.5 Flash measured |
| LMArena Vision: captioning | Not measured | 1277 | Only Gemini 2.5 Flash measured |
| LMArena Vision: recognizing things | Not measured | 1252 | Only Gemini 2.5 Flash measured |
| LMArena Vision: creative writing | Not measured | 1241 | Only Gemini 2.5 Flash measured |
| Neither model has a result on the other 14 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 costs less
Repository review
50K input + 3K output tokens
Gemini 2.5 Flash costs less
Agent loop
200K input + 10K output tokens
Gemini 2.5 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.
| Specification | Fireworks Ember-1 | Google Gemini 2.5 Flash |
|---|---|---|
| Maker | Fireworks | |
| Weights | No public weights listed | No public weights listed |
| Released | September 24, 2026 | June 17, 2025 |
| Context window | 1.05M | 1.05M |
| Input $/Mtok | $3.00 | $0.30 |
| Output $/Mtok | $15.00 | $2.50 |
| Coding index | 52.6 | Not benchmarked |
| Independent measurements behind it | 2 | 0 |
| Cost per solved task | Not computable | $0.466 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Ember-1 better than Gemini 2.5 Flash for coding?
Only Ember-1 has a coding score, 52.6 on the Vibe Coding Index; Gemini 2.5 Flash has none, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash for output tokens 6.0x cheaper ($2.50 vs $15.00 per million).
Which is cheaper, Ember-1 or Gemini 2.5 Flash?
Ember-1 costs $3.00 per million input tokens and $15.00 per million output tokens; Gemini 2.5 Flash costs $0.30 and $2.50. Cost per solved task is known for Gemini 2.5 Flash only.
Which has the bigger context window, Ember-1 or Gemini 2.5 Flash?
Neither: both take 1.05M tokens.
Has any benchmark tested both Ember-1 and Gemini 2.5 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); Gemini 2.5 Flash on SWE-bench Verified, LiveCodeBench (Artificial Analysis run) and Terminal-Bench Hard (Artificial Analysis run). Compare them on price and context instead. Data as of October 21, 2026.