Beam 1.0 501B A23B vs Llama 3.1 Euryale 70B v2.2
Llama 3.1 Euryale 70B v2.2 costs 1.4x less per output token than Beam 1.0 501B A23B ($0.85 vs $1.20 per million). Updated October 22, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- No data
- Output $/M
- $1.20
- Coding
- No data
- Overall
- No data
- Output $/M
- $0.85
Beam 1.0 501B A23B or Llama 3.1 Euryale 70B v2.2: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Beam 1.0 501B A23B for a larger context window (1.05M against 131K tokens).
No benchmark has tested both yet. Beam 1.0 501B A23B has results on LMArena WebDev, LMArena Text: coding and LMArena Text: software and IT; Llama 3.1 Euryale 70B v2.2 has none yet. 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
Neither has a coding score yet.
One side not measured
Web design
Design Arena: websites
No call
Only Beam 1.0 501B A23B has a Design Arena: websites result, 1245.
Directional only
Long documents
Listed context window
Beam 1.0 501B A23B
Beam 1.0 501B A23B takes 1.05M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Beam 1.0 501B A23B
Beam 1.0 501B A23B $0.0010, Llama 3.1 Euryale 70B v2.2 $0.0013 per turn.
List prices
At a glance
- Coding index
- Beam 1.0 501B A23B not benchmarked, Llama 3.1 Euryale 70B v2.2 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
- Beam 1.0 501B A23B $1.20 against Llama 3.1 Euryale 70B v2.2 $0.85 per million output tokens, 1.4x apart.
- Context window
- Beam 1.0 501B A23B takes 1.05M tokens, Llama 3.1 Euryale 70B v2.2 131K.
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
| Benchmark | Beam 1.0 501B A23B | Llama 3.1 Euryale 70B v2.2 | Leader |
|---|---|---|---|
| LMArena WebDev | 1437 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: coding | 1473 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: software and IT | 1461 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena WebDev: React | 1443 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena WebDev: HTML | 1436 | Not measured | Only Beam 1.0 501B A23B measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index3 boards measured
| Benchmark | Beam 1.0 501B A23B | Llama 3.1 Euryale 70B v2.2 | Leader |
|---|---|---|---|
| LMArena Text: hard prompts | 1442 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: expert | 1447 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: hard prompts in English | 1451 | Not measured | Only Beam 1.0 501B A23B measured |
| Neither model has a result on the other 20 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Beam 1.0 501B A23B | Llama 3.1 Euryale 70B v2.2 | Leader |
|---|---|---|---|
| LMArena Text: math | 1459 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: mathematical work | 1475 | Not measured | Only Beam 1.0 501B A23B measured |
| Neither model has a result on the other 12 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index4 boards measured
| Benchmark | Beam 1.0 501B A23B | Llama 3.1 Euryale 70B v2.2 | Leader |
|---|---|---|---|
| LMArena Text: science | 1430 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: medicine and healthcare | 1376 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: legal and government | 1433 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: business and finance | 1430 | Not measured | Only Beam 1.0 501B A23B measured |
| Neither model has a result on the other 16 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | Beam 1.0 501B A23B | Llama 3.1 Euryale 70B v2.2 | Leader |
|---|---|---|---|
| Design Arena: websites | 1245 | Not measured | Only Beam 1.0 501B A23B measured |
| Design Arena: game dev | 1220 | Not measured | Only Beam 1.0 501B A23B measured |
| Neither model has a result on the other 7 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index12 boards measured
| Benchmark | Beam 1.0 501B A23B | Llama 3.1 Euryale 70B v2.2 | Leader |
|---|---|---|---|
| LMArena Text | 1425 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: instruction following | 1430 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: creative writing | 1390 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: English | 1436 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: non-English | 1413 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: Chinese | 1424 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: French | 1461 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: Russian | 1412 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: multi-turn | 1414 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: longer queries | 1429 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: writing and language | 1400 | Not measured | Only Beam 1.0 501B A23B measured |
| LMArena Text: entertainment and media | 1399 | Not measured | Only Beam 1.0 501B A23B measured |
| Neither model has a result on the other 36 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
Beam 1.0 501B A23B costs less
Repository review
50K input + 3K output tokens
Beam 1.0 501B A23B costs less
Agent loop
200K input + 10K output tokens
Beam 1.0 501B A23B 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 | Reflection Beam 1.0 501B A23B | Sao10K Llama 3.1 Euryale 70B v2.2 |
|---|---|---|
| Maker | Reflection | Sao10K |
| Weights | Open weights | Open weights |
| Released | October 16, 2026 | August 28, 2024 |
| Context window | 1.05M | 131K |
| Input $/Mtok | $0.40 | $0.85 |
| Output $/Mtok | $1.20 | $0.85 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Beam 1.0 501B A23B better than Llama 3.1 Euryale 70B v2.2 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Beam 1.0 501B A23B for a larger context window (1.05M against 131K tokens).
Which is cheaper, Beam 1.0 501B A23B or Llama 3.1 Euryale 70B v2.2?
Beam 1.0 501B A23B costs $0.40 per million input tokens and $1.20 per million output tokens; Llama 3.1 Euryale 70B v2.2 costs $0.85 and $0.85. Cost per solved task is known for neither of them.
Which has the bigger context window, Beam 1.0 501B A23B or Llama 3.1 Euryale 70B v2.2?
Beam 1.0 501B A23B, with 1.05M tokens against 131K.
Has any benchmark tested both Beam 1.0 501B A23B and Llama 3.1 Euryale 70B v2.2?
No benchmark has tested both yet. Beam 1.0 501B A23B has results on LMArena WebDev, LMArena Text: coding and LMArena Text: software and IT; Llama 3.1 Euryale 70B v2.2 has none yet. Compare them on price and context instead. Data as of October 22, 2026.