Qwen2.5 72B Instruct vs Reka Flash 3
Qwen2.5 72B Instruct leads Reka Flash 3 on the Artificial Analysis Intelligence Index, 7.7 to 6.4, and Reka Flash 3 costs 2.0x less per output token ($0.20 vs $0.40 per million). Updated October 23, 2026; 11 benchmarks have a result for both.
Qwen2.5 72B Instruct or Reka Flash 3: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Qwen2.5 72B Instruct for work measured by LiveCodeBench (Artificial Analysis run) or BALROG, where it leads.
- Shared results
- 11
- Qwen2.5 72B Instruct only
- 42
- Reka Flash 3 only
- 1
- Like-for-like categories
- 7 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
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
Intelligence
AA Intelligence Index
Qwen2.5 72B Instruct
Qwen2.5 72B Instruct leads, 7.7 against 6.4.
Same board, both measured
Long documents
Listed context window
Reka Flash 3
Reka Flash 3 takes 66K tokens against 33K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Reka Flash 3
Qwen2.5 72B Instruct $0.0006, Reka Flash 3 $0.0002 per turn.
List prices
At a glance
- Coding index
- Qwen2.5 72B Instruct not benchmarked, Reka Flash 3 not benchmarked.
- Widest category
- Agentic work, 23.8 points apart on average over 2 shared benchmarks.
- Widest single gap
- τ²-Bench Telecom: Qwen2.5 72B Instruct 34.5% against Reka Flash 3 0.0%, 34.5 points apart on a 0 to 100 scale.
- Output price
- Qwen2.5 72B Instruct $0.40 against Reka Flash 3 $0.20 per million output tokens, 2.0x apart.
- Context window
- Qwen2.5 72B Instruct takes 33K tokens, Reka Flash 3 66K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Qwen2.5 72B Instruct | Bars | Reka Flash 3 | Ties |
|---|---|---|---|---|
| Coding | 1 | 1 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 1 | ||
| Reasoning | 0 | 2 | ||
| Math | 0 | 2 | ||
| Knowledge | 1 | 0 | ||
| General | 1 | 0 | ||
| All shared boards | 5 | 6 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index11
| Benchmark | Qwen2.5 72B Instruct | Reka Flash 3 | Leader |
|---|---|---|---|
| LiveCodeBench (Artificial Analysis run) | 27.6% | 43.5% | Reka Flash 3 |
| Terminal-Bench Hard (Artificial Analysis run) | 4.5% | 0.0% | Qwen2.5 72B Instruct |
| WeirdML | 16.0% | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: coding | 1292 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: software and IT | 1292 | Not measured | Only Qwen2.5 72B Instruct measured |
| Neither model has a result on the other 38 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Qwen2.5 72B Instruct | Reka Flash 3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 7.7 | 6.4 | Qwen2.5 72B Instruct |
| Epoch Capabilities Index | 129.0 | Not measured | Only Qwen2.5 72B Instruct measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Qwen2.5 72B Instruct | Reka Flash 3 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 34.5% | 0.0% | Qwen2.5 72B Instruct |
| METR time horizons | 35.8% | Not measured | Only Qwen2.5 72B Instruct measured |
| BALROG | 16.2% | 29.2% | Reka Flash 3 |
| TheAgentCompany | 5.7% | Not measured | Only Qwen2.5 72B Instruct measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Qwen2.5 72B Instruct | Reka Flash 3 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 49.1% | 52.9% | Reka Flash 3 |
| Humanity's Last Exam (Artificial Analysis run) | 3.6% | 4.4% | Reka Flash 3 |
| GPQA Diamond (Epoch AI run) | 49.1% | Not measured | Only Qwen2.5 72B Instruct measured |
| BIG-Bench Hard | 79.8% | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: hard prompts | 1270 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: expert | 1245 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: hard prompts in English | 1279 | Not measured | Only Qwen2.5 72B Instruct measured |
| Neither model has a result on the other 16 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Qwen2.5 72B Instruct | Reka Flash 3 | Leader |
|---|---|---|---|
| AA Math Index | 14.0 | 33.7 | Reka Flash 3 |
| AIME 2025 (Artificial Analysis run) | 14.0% | 33.7% | Reka Flash 3 |
| OTIS Mock AIME | 8.1% | Not measured | Only Qwen2.5 72B Instruct measured |
| MATH level 5 | 63.2% | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: math | 1283 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: mathematical work | 1290 | Not measured | Only Qwen2.5 72B Instruct measured |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Qwen2.5 72B Instruct | Reka Flash 3 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 72.0% | 66.9% | Qwen2.5 72B Instruct |
| MMLU | 85.3% | Not measured | Only Qwen2.5 72B Instruct measured |
| AI2 Reasoning Challenge | 94.5% | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: science | 1275 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: medicine and healthcare | 1258 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: legal and government | 1288 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: business and finance | 1253 | Not measured | Only Qwen2.5 72B Instruct measured |
| Neither model has a result on the other 13 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen2.5 72B Instruct | Reka Flash 3 | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Qwen2.5 72B Instruct | Reka Flash 3 | Leader |
|---|---|---|---|
| IFBench | 36.9% | 30.4% | Qwen2.5 72B Instruct |
| Long context reasoning (AA-LCR) | Not measured | 0.0% | Only Reka Flash 3 measured |
| DTBench | 62.9% | Not measured | Only Qwen2.5 72B Instruct measured |
| LMCA | 13.4% | Not measured | Only Qwen2.5 72B Instruct measured |
| HellaSwag | 84.8% | Not measured | Only Qwen2.5 72B Instruct measured |
| WinoGrande | 82.3% | Not measured | Only Qwen2.5 72B Instruct measured |
| PIQA | 82.6% | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text | 1269 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: instruction following | 1254 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: creative writing | 1221 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: English | 1283 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: non-English | 1252 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: Chinese | 1273 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: German | 1234 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: Japanese | 1180 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: Korean | 1188 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: French | 1280 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: Spanish | 1256 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: Russian | 1264 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: multi-turn | 1272 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: longer queries | 1281 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: writing and language | 1247 | Not measured | Only Qwen2.5 72B Instruct measured |
| LMArena Text: entertainment and media | 1211 | Not measured | Only Qwen2.5 72B Instruct measured |
| Neither model has a result on the other 25 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Qwen2.5 72B Instruct | Reka Flash 3 | Leader |
|---|---|---|---|
| Neither model has a result on 5 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
Reka Flash 3 costs less
Repository review
50K input + 3K output tokens
Reka Flash 3 costs less
Agent loop
200K input + 10K output tokens
Reka Flash 3 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 | Qwen2.5 72B Instruct | Reka Flash 3 |
|---|---|---|
| Maker | Qwen | Reka |
| Weights | Open weights | Open weights |
| Released | September 19, 2024 | March 12, 2025 |
| Context window | 33K | 66K |
| Input $/Mtok | $0.36 | $0.10 |
| Output $/Mtok | $0.40 | $0.20 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Qwen2.5 72B Instruct better than Reka Flash 3 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Qwen2.5 72B Instruct for work measured by LiveCodeBench (Artificial Analysis run) or BALROG, where it leads.
Which is cheaper, Qwen2.5 72B Instruct or Reka Flash 3?
Qwen2.5 72B Instruct costs $0.36 per million input tokens and $0.40 per million output tokens; Reka Flash 3 costs $0.10 and $0.20. Cost per solved task is known for neither of them.
Which has the bigger context window, Qwen2.5 72B Instruct or Reka Flash 3?
Reka Flash 3, with 66K tokens against 33K.
How many benchmarks is the Qwen2.5 72B Instruct vs Reka Flash 3 comparison based on?
11 benchmarks have a result for both models as of October 23, 2026. Qwen2.5 72B Instruct's coding index rests on 0 independent benchmarks and Reka Flash 3's on 0. Where only one model has a result, the page says so instead of naming a winner.