Ember-1 vs Gemma 2 27B
Gemma 2 27B costs 23.1x less per output token than Ember-1 ($0.65 vs $15.00 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- 52.6
- Overall
- No data
- Output $/M
- $15.00
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.65
Ember-1 or Gemma 2 27B: which to pick
Only Ember-1 has a coding score, 52.6 on the Vibe Coding Index; Gemma 2 27B has none, so the two cannot be ranked on coding.
Pick Gemma 2 27B for output tokens 23.1x cheaper ($0.65 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); Gemma 2 27B on LMArena Text: coding, LMArena Text: software and IT and Epoch Capabilities 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.
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
Long documents
Listed context window
Ember-1
Ember-1 takes 1.05M tokens against 8K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 2 27B
Ember-1 $0.011, Gemma 2 27B $0.0010 per turn.
List prices
At a glance
- Coding index
- Ember-1 52.6 from 2 benchmarks, Gemma 2 27B 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 Gemma 2 27B $0.65 per million output tokens, 23.1x apart.
- Context window
- Ember-1 takes 1.05M tokens, Gemma 2 27B 8K.
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 Index7 boards measured
| Benchmark | Ember-1 | Gemma 2 27B | Leader |
|---|---|---|---|
| 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 |
| LMArena Text: coding | Not measured | 1211 | Only Gemma 2 27B measured |
| LMArena Text: software and IT | Not measured | 1228 | Only Gemma 2 27B measured |
| Neither model has a result on the other 32 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index1 board measured
| Benchmark | Ember-1 | Gemma 2 27B | Leader |
|---|---|---|---|
| Epoch Capabilities Index | Not measured | 122.1 | Only Gemma 2 27B 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
| Benchmark | Ember-1 | Gemma 2 27B | 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 |
| Neither model has a result on the other 34 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index5 boards measured
| Benchmark | Ember-1 | Gemma 2 27B | Leader |
|---|---|---|---|
| MysteryMechanism (Vals AI) | 22.5% | Not measured | Only Ember-1 measured |
| GPQA Diamond (Epoch AI run) | Not measured | 36.5% | Only Gemma 2 27B measured |
| LMArena Text: hard prompts | Not measured | 1198 | Only Gemma 2 27B measured |
| LMArena Text: expert | Not measured | 1171 | Only Gemma 2 27B measured |
| LMArena Text: hard prompts in English | Not measured | 1206 | Only Gemma 2 27B measured |
| Neither model has a result on the other 17 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | Ember-1 | Gemma 2 27B | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 1.4% | Only Gemma 2 27B measured |
| MATH level 5 | Not measured | 27.9% | Only Gemma 2 27B measured |
| LMArena Text: math | Not measured | 1212 | Only Gemma 2 27B measured |
| LMArena Text: mathematical work | Not measured | 1221 | Only Gemma 2 27B 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 | Gemma 2 27B | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | Not measured | 68.0% | Only Gemma 2 27B measured |
| MMLU | Not measured | 75.7% | Only Gemma 2 27B measured |
| LMArena Text: science | Not measured | 1228 | Only Gemma 2 27B measured |
| LMArena Text: medicine and healthcare | Not measured | 1198 | Only Gemma 2 27B measured |
| LMArena Text: legal and government | Not measured | 1241 | Only Gemma 2 27B measured |
| LMArena Text: business and finance | Not measured | 1208 | Only Gemma 2 27B measured |
| Neither model has a result on the other 12 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index20 boards measured
| Benchmark | Ember-1 | Gemma 2 27B | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 66.2% | Not measured | Only Ember-1 measured |
| DTBench | Not measured | 48.0% | Only Gemma 2 27B measured |
| LMCA | Not measured | 7.1% | Only Gemma 2 27B measured |
| LMArena Text | Not measured | 1231 | Only Gemma 2 27B measured |
| LMArena Text: instruction following | Not measured | 1206 | Only Gemma 2 27B measured |
| LMArena Text: creative writing | Not measured | 1240 | Only Gemma 2 27B measured |
| LMArena Text: English | Not measured | 1242 | Only Gemma 2 27B measured |
| LMArena Text: non-English | Not measured | 1217 | Only Gemma 2 27B measured |
| LMArena Text: Chinese | Not measured | 1221 | Only Gemma 2 27B measured |
| LMArena Text: German | Not measured | 1209 | Only Gemma 2 27B measured |
| LMArena Text: Japanese | Not measured | 1175 | Only Gemma 2 27B measured |
| LMArena Text: Korean | Not measured | 1174 | Only Gemma 2 27B measured |
| LMArena Text: French | Not measured | 1248 | Only Gemma 2 27B measured |
| LMArena Text: Spanish | Not measured | 1228 | Only Gemma 2 27B measured |
| LMArena Text: Russian | Not measured | 1234 | Only Gemma 2 27B measured |
| LMArena Text: Polish | Not measured | 1277 | Only Gemma 2 27B measured |
| LMArena Text: multi-turn | Not measured | 1224 | Only Gemma 2 27B measured |
| LMArena Text: longer queries | Not measured | 1230 | Only Gemma 2 27B measured |
| LMArena Text: writing and language | Not measured | 1249 | Only Gemma 2 27B measured |
| LMArena Text: entertainment and media | Not measured | 1212 | Only Gemma 2 27B measured |
| Neither model has a result on the other 26 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
Gemma 2 27B costs less
Repository review
50K input + 3K output tokens
Gemma 2 27B costs less
Agent loop
200K input + 10K output tokens
Gemma 2 27B 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 Gemma 2 27B |
|---|---|---|
| Maker | Fireworks | |
| Weights | No public weights listed | Open weights |
| Released | September 24, 2026 | July 13, 2024 |
| Context window | 1.05M | 8K |
| Input $/Mtok | $3.00 | $0.65 |
| Output $/Mtok | $15.00 | $0.65 |
| Coding index | 52.6 | Not benchmarked |
| Independent measurements behind it | 2 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Ember-1 better than Gemma 2 27B for coding?
Only Ember-1 has a coding score, 52.6 on the Vibe Coding Index; Gemma 2 27B has none, so the two cannot be ranked on coding. Pick Gemma 2 27B for output tokens 23.1x cheaper ($0.65 vs $15.00 per million).
Which is cheaper, Ember-1 or Gemma 2 27B?
Ember-1 costs $3.00 per million input tokens and $15.00 per million output tokens; Gemma 2 27B costs $0.65 and $0.65. Cost per solved task is known for neither of them.
Which has the bigger context window, Ember-1 or Gemma 2 27B?
Ember-1, with 1.05M tokens against 8K.
Has any benchmark tested both Ember-1 and Gemma 2 27B?
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); Gemma 2 27B on LMArena Text: coding, LMArena Text: software and IT and Epoch Capabilities Index. Compare them on price and context instead. Data as of October 22, 2026.