Command A vs Gemini 2.5 Flash Lite
Updated October 21, 2026. 24 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Neither model has a coding score yet, so the two cannot be ranked on coding.
Command A has the edge where what matters is LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.
- Shared results
- 24
- Command A only
- 36
- Gemini 2.5 Flash Lite only
- 4
- Like-for-like categories
- 7 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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
Command A
Command A leads, 13.1 against 10.4.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Command A has a AA Agentic Index result, 1.0.
Directional only
Reasoning
GPQA Diamond
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite leads, 70.2% against 48.5%.
Same board, both measured
Math
AIME
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite leads, 42.1% against 13.3%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite leads, 79.1% against 69.2%.
Same board, both measured
Long documents
Listed context window
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite takes 1.05M tokens against 256K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 2.5 Flash Lite
Command A $0.0075, Gemini 2.5 Flash Lite $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Command A has the number, $2.69.
Directional only
At a glance
- Coding index
- Command A not benchmarked, Gemini 2.5 Flash Lite not benchmarked.
- Widest category
- Agentic work, 61.7 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Command A 80.7% against Gemini 2.5 Flash Lite 19.0%, 61.7 points apart on a 0 to 100 scale.
- Output price
- Command A $10.00 against Gemini 2.5 Flash Lite $0.40 per million output tokens, 25.0x apart.
- Context window
- Command A takes 256K tokens, Gemini 2.5 Flash Lite 1.05M.
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 | Command A | Bars | Gemini 2.5 Flash Lite | Ties |
|---|---|---|---|---|
| Coding | 1 | 2 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 2 | 1 | ||
| Math | 0 | 4 | ||
| Knowledge | 0 | 7 | ||
| General | 1 | 4 | ||
| All shared boards | 6 | 18 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index12
| Benchmark | Command A | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| AA Coding Index | 27.8 | Not measured | Only Command A measured |
| LiveCodeBench (Vals AI) | 35.1% | 71.4% | Gemini 2.5 Flash Lite |
| SWE-bench Verified (Vals AI) | 7.8% | Not measured | Only Command A measured |
| Terminal-Bench 2.1 (Vals AI) | 17.6% | Not measured | Only Command A measured |
| LiveCodeBench (Artificial Analysis run) | 28.7% | 59.3% | Gemini 2.5 Flash Lite |
| SciCode | 38.5% | Not measured | Only Command A measured |
| Terminal-Bench Hard (Artificial Analysis run) | 25.0% | 4.5% | Command A |
| LMArena Text: coding | 1330 | Not measured | Only Command A measured |
| LMArena Text: software and IT | 1336 | Not measured | Only Command A measured |
| Neither model has a result on the other 29 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Command A | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| AA Intelligence Index | 13.1 | 10.4 | Command A |
| Epoch Capabilities Index | Not measured | 133.8 | Only Gemini 2.5 Flash Lite measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Command A | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| AA Agentic Index | 1.0 | Not measured | Only Command A measured |
| Finance Agent (Vals AI) | 9.0% | Not measured | Only Command A measured |
| τ²-Bench Telecom | 80.7% | 19.0% | Command A |
| Neither model has a result on the other 36 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Command A | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| GPQA Diamond | 48.5% | 70.2% | Gemini 2.5 Flash Lite |
| MMMU Pro (Vals AI) | Not measured | 75.4% | Only Gemini 2.5 Flash Lite measured |
| GPQA Diamond (Artificial Analysis run) | 76.1% | 62.5% | Command A |
| Humanity's Last Exam (Artificial Analysis run) | 12.0% | 6.8% | Command A |
| LMArena Text: hard prompts | 1326 | Not measured | Only Command A measured |
| LMArena Text: expert | 1296 | Not measured | Only Command A measured |
| LMArena Text: hard prompts in English | 1335 | Not measured | Only Command A measured |
| Neither model has a result on the other 14 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Command A | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| AIME | 13.3% | 42.1% | Gemini 2.5 Flash Lite |
| MATH 500 (Vals AI) | 76.2% | Not measured | Only Command A measured |
| MGSM (Vals AI) | 85.7% | 89.5% | Gemini 2.5 Flash Lite |
| AA Math Index | 13.0 | 53.3 | Gemini 2.5 Flash Lite |
| AIME 2025 (Artificial Analysis run) | 13.0% | 53.3% | Gemini 2.5 Flash Lite |
| LMArena Text: math | 1300 | Not measured | Only Command A measured |
| LMArena Text: mathematical work | 1312 | Not measured | Only Command A measured |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Command A | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| MMLU Pro | 69.2% | 79.1% | Gemini 2.5 Flash Lite |
| LegalBench (Vals AI) | 79.7% | 82.0% | Gemini 2.5 Flash Lite |
| CaseLaw (Vals AI) | 64.5% | Not measured | Only Command A measured |
| CorpFin (Vals AI) | 46.0% | 57.6% | Gemini 2.5 Flash Lite |
| TaxEval (Vals AI) | 61.4% | 66.2% | Gemini 2.5 Flash Lite |
| MortgageTax (Vals AI) | Not measured | 57.6% | Only Gemini 2.5 Flash Lite measured |
| MedQA (Vals AI) | 80.5% | 88.9% | Gemini 2.5 Flash Lite |
| MedCode (Vals AI) | 19.7% | 34.2% | Gemini 2.5 Flash Lite |
| MMLU Pro (Artificial Analysis run) | 71.2% | 75.9% | Gemini 2.5 Flash Lite |
| LMArena Text: science | 1339 | Not measured | Only Command A measured |
| LMArena Text: medicine and healthcare | 1334 | Not measured | Only Command A measured |
| LMArena Text: legal and government | 1348 | Not measured | Only Command A measured |
| LMArena Text: business and finance | 1315 | Not measured | Only Command A measured |
| Neither model has a result on the other 4 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Command A | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | Command A | Gemini 2.5 Flash Lite | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 30.8% | Only Gemini 2.5 Flash Lite measured |
| MedScribe (Vals AI) | 55.7% | 75.8% | Gemini 2.5 Flash Lite |
| IFBench | 73.9% | 49.9% | Command A |
| Long context reasoning (AA-LCR) | 52.7% | 55.7% | Gemini 2.5 Flash Lite |
| DTBench | 61.3% | 62.8% | Gemini 2.5 Flash Lite |
| LMCA | 10.3% | 18.1% | Gemini 2.5 Flash Lite |
| LMArena Text | 1331 | Not measured | Only Command A measured |
| LMArena Text: instruction following | 1309 | Not measured | Only Command A measured |
| LMArena Text: creative writing | 1319 | Not measured | Only Command A measured |
| LMArena Text: English | 1344 | Not measured | Only Command A measured |
| LMArena Text: non-English | 1313 | Not measured | Only Command A measured |
| LMArena Text: Chinese | 1327 | Not measured | Only Command A measured |
| LMArena Text: German | 1342 | Not measured | Only Command A measured |
| LMArena Text: Japanese | 1285 | Not measured | Only Command A measured |
| LMArena Text: Korean | 1285 | Not measured | Only Command A measured |
| LMArena Text: French | 1351 | Not measured | Only Command A measured |
| LMArena Text: Spanish | 1347 | Not measured | Only Command A measured |
| LMArena Text: Russian | 1314 | Not measured | Only Command A measured |
| LMArena Text: Polish | 1324 | Not measured | Only Command A measured |
| LMArena Text: multi-turn | 1338 | Not measured | Only Command A measured |
| LMArena Text: longer queries | 1334 | Not measured | Only Command A measured |
| LMArena Text: writing and language | 1328 | Not measured | Only Command A measured |
| LMArena Text: entertainment and media | 1306 | Not measured | Only Command A measured |
| Neither model has a result on the other 23 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Command A | Gemini 2.5 Flash Lite | 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
Gemini 2.5 Flash Lite costs less
Repository review
50K input + 3K output tokens
Gemini 2.5 Flash Lite costs less
Agent loop
200K input + 10K output tokens
Gemini 2.5 Flash Lite 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 | Cohere Command A | Google Gemini 2.5 Flash Lite |
|---|---|---|
| Maker | Cohere | |
| Weights | Open weights | No public weights listed |
| Released | March 13, 2025 | July 22, 2025 |
| Context window | 256K | 1.05M |
| Input $/Mtok | $2.50 | $0.10 |
| Output $/Mtok | $10.00 | $0.40 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 1 | 0 |
| Cost per solved task | $2.69 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Command A better than Gemini 2.5 Flash Lite for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Command A has the edge where what matters is LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.
Which is cheaper, Command A or Gemini 2.5 Flash Lite?
Command A costs $2.50 per million input tokens and $10.00 per million output tokens; Gemini 2.5 Flash Lite costs $0.10 and $0.40. Cost per solved task is known for Command A only.
Which has the bigger context window, Command A or Gemini 2.5 Flash Lite?
Gemini 2.5 Flash Lite, with 1.05M tokens against 256K.
How many benchmarks is the Command A vs Gemini 2.5 Flash Lite comparison based on?
24 benchmarks have a result for both models as of October 21, 2026. Command A's coding index rests on 1 independent benchmark and Gemini 2.5 Flash Lite's on 0. Where only one model has a result, the page says so instead of naming a winner.