Mistral Small 4 vs Qwen2.5 7B Instruct
Qwen2.5 7B Instruct costs 3.0x less per output token than Mistral Small 4 ($0.20 vs $0.60 per million). Updated October 21, 2026; 2 benchmarks have a result for both.
Mistral Small 4 or Qwen2.5 7B Instruct: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Mistral Small 4 for a larger context window (262K against 33K tokens).
- Shared results
- 2
- Mistral Small 4 only
- 13
- Qwen2.5 7B Instruct only
- 5
- Like-for-like categories
- 1 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
No call
Only Mistral Small 4 has a AA Intelligence Index result, 11.3.
Directional only
Agentic work
AA Agentic Index
No call
Only Mistral Small 4 has a AA Agentic Index result, 0.8.
Directional only
Long documents
Listed context window
Mistral Small 4
Mistral Small 4 takes 262K tokens against 33K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Qwen2.5 7B Instruct
Mistral Small 4 $0.0004, Qwen2.5 7B Instruct $0.0002 per turn.
List prices
At a glance
- Coding index
- Mistral Small 4 not benchmarked, Qwen2.5 7B Instruct not benchmarked.
- Widest category
- General, 18.7 points apart on average over 2 shared benchmarks.
- Widest single gap
- DTBench: Mistral Small 4 70.9% against Qwen2.5 7B Instruct 47.7%, 23.2 points apart on a 0 to 100 scale.
- Output price
- Mistral Small 4 $0.60 against Qwen2.5 7B Instruct $0.20 per million output tokens, 3.0x apart.
- Context window
- Mistral Small 4 takes 262K tokens, Qwen2.5 7B Instruct 33K.
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 | Mistral Small 4 | Bars | Qwen2.5 7B Instruct | Ties |
|---|---|---|---|---|
| General | 2 | 0 | ||
| All shared boards | 2 | 0 |
CodingDirectional onlySix of these boards feed the Vibe Coding Index5 boards, none shared
| Benchmark | Mistral Small 4 | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| AA Coding Index | 26.6 | Not measured | Only Mistral Small 4 measured |
| Vibe Code Bench (Vals AI) | 0.0% | Not measured | Only Mistral Small 4 measured |
| SciCode | 38.8% | Not measured | Only Mistral Small 4 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 17.4% | Not measured | Only Mistral Small 4 measured |
| ALE-Bench | 497.6 | Not measured | Only Mistral Small 4 measured |
| Neither model has a result on the other 34 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
| Benchmark | Mistral Small 4 | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| AA Intelligence Index | 11.3 | Not measured | Only Mistral Small 4 measured |
| Epoch Capabilities Index | Not measured | 118.5 | Only Qwen2.5 7B Instruct measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Mistral Small 4 | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| AA Agentic Index | 0.8 | Not measured | Only Mistral Small 4 measured |
| τ²-Bench Telecom | 41.2% | Not measured | Only Mistral Small 4 measured |
| BALROG | Not measured | 7.8% | Only Qwen2.5 7B Instruct measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Mistral Small 4 | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 76.9% | Not measured | Only Mistral Small 4 measured |
| Humanity's Last Exam (Artificial Analysis run) | 9.9% | Not measured | Only Mistral Small 4 measured |
| GPQA Diamond (Epoch AI run) | Not measured | 35.5% | Only Qwen2.5 7B Instruct measured |
| Kagi LLM Benchmark | 40.5% | Not measured | Only Mistral Small 4 measured |
| Neither model has a result on the other 18 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Mistral Small 4 | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| OTIS Mock AIME | Not measured | 2.5% | Only Qwen2.5 7B Instruct measured |
| Neither model has a result on the other 12 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Mistral Small 4 | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| MMLU | Not measured | 72.9% | Only Qwen2.5 7B Instruct measured |
| Neither model has a result on the other 17 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Small 4 | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Mistral Small 4 | Qwen2.5 7B Instruct | Leader |
|---|---|---|---|
| IFBench | 48.2% | Not measured | Only Mistral Small 4 measured |
| Long context reasoning (AA-LCR) | 49.7% | Not measured | Only Mistral Small 4 measured |
| DTBench | 70.9% | 47.7% | Mistral Small 4 |
| LMCA | 20.6% | 6.4% | Mistral Small 4 |
| Neither model has a result on the other 42 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Mistral Small 4 | Qwen2.5 7B Instruct | 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
Qwen2.5 7B Instruct costs less
Repository review
50K input + 3K output tokens
Qwen2.5 7B Instruct costs less
Agent loop
200K input + 10K output tokens
Qwen2.5 7B Instruct 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 | Mistral Small 4 | Qwen2.5 7B Instruct |
|---|---|---|
| Maker | Mistral AI | Qwen |
| Weights | Open weights | Open weights |
| Released | March 16, 2026 | October 16, 2024 |
| Context window | 262K | 33K |
| Input $/Mtok | $0.15 | $0.10 |
| Output $/Mtok | $0.60 | $0.20 |
| 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 Mistral Small 4 better than Qwen2.5 7B Instruct for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Mistral Small 4 for a larger context window (262K against 33K tokens).
Which is cheaper, Mistral Small 4 or Qwen2.5 7B Instruct?
Mistral Small 4 costs $0.15 per million input tokens and $0.60 per million output tokens; Qwen2.5 7B Instruct costs $0.10 and $0.20. Cost per solved task is known for neither of them.
Which has the bigger context window, Mistral Small 4 or Qwen2.5 7B Instruct?
Mistral Small 4, with 262K tokens against 33K.
How many benchmarks is the Mistral Small 4 vs Qwen2.5 7B Instruct comparison based on?
2 benchmarks have a result for both models as of October 21, 2026. Mistral Small 4's coding index rests on 1 independent benchmark and Qwen2.5 7B Instruct's on 0. Where only one model has a result, the page says so instead of naming a winner.