Kimi K2 Instruct 0905 vs Gemini 2.5 Flash vs Apertus 70B
Gemini 2.5 Flash comes out ahead, 68 to 38 and 32 on our weighted score, and it is the cheaper option too.
Moonshot AIKimi K2 Instruct 0905
38/100- ECI—
- Price$0.60 / $2.50
- Context262K
- Our pick
GoogleGemini 2.5 Flash
68/100- ECI140.6
- Price$0.30 / $2.50
- Context1.05M
Swiss AI
Apertus 70B
32/100- ECI—
- Price$0.82 / $2.42
- Context66K
Gemini 2.5 Flash is our pick
Gemini 2.5 Flash is the better all-round choice, scoring 68/100 against Kimi K2 Instruct 0905 (38) and Apertus 70B (32). It leads on price, inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceGemini 2.5 FlashGemini 2.5 Flash $0.85 · Kimi K2 Instruct 0905 $1.07 · Apertus 70B $1.22 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 FlashGemini 2.5 Flash 1,048,576 · Kimi K2 Instruct 0905 262,144 · Apertus 70B 65,536 tokens
- Widest inputsGemini 2.5 FlashKimi K2 Instruct 0905: Text · Gemini 2.5 Flash: Text, Images, PDFs, Audio, Video · Apertus 70B: Text
- Self-hostingKimi K2 Instruct 0905 and Apertus 70BPublishes downloadable weights (Modified MIT and Apache-2.0)
| Measure | Weight | Kimi K2 Instruct 0905 | Gemini 2.5 Flash | Apertus 70B |
|---|---|---|---|---|
| Price | 50% | 46 | 51 | 44 |
| Inputs & features | 30% | 25 | 100 | 25 |
| Context window | 20% | 37 | 61 | 12 |
| Overall | 100% | 38/100 | 68/100 | 32/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Kimi K2 Instruct 0905Moonshot AI | Gemini 2.5 FlashGoogle | Apertus 70BSwiss AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | 140.6 | — |
| ECI rank | — | #110 of 165 | — |
| Price per million tokens | |||
| Input | $0.60 | $0.30 (best) | $0.82 |
| Output | $2.50 | $2.50 | $2.42 (best) |
| Cached input | — | $0.03 | — |
| Blended (3:1) | $1.07 | $0.85 (best) | $1.22 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 12 providers | Official Google API | Median of 3 providers |
| Limits | |||
| Context window | 262,144 tokens | 1,048,576 tokens (best) | 65,536 tokens |
| Max output | 98,304 tokens (best) | 65,536 tokens | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | Yes | No |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | No | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | OpenModified MIT | Proprietary | OpenApache-2.0 |
| API model ID | — | gemini-2.5-flash | — |
| API providers | 13 | 32 (best) | 3 |
| Released | Sep 5, 2025 | Jun 17, 2025 | Sep 2, 2025 |
| Knowledge cutoff | — | Jan 2025 | Sep 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Kimi K2 Instruct 0905$11.00
- Gemini 2.5 Flash$8.00
- Apertus 70B$13.04
Which should you choose?
Which is better: Kimi K2 Instruct 0905, Gemini 2.5 Flash or Apertus 70B?
Gemini 2.5 Flash is the better all-round choice, scoring 68/100 against Kimi K2 Instruct 0905 (38) and Apertus 70B (32). It leads on price, inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Kimi K2 Instruct 0905, Gemini 2.5 Flash or Apertus 70B?
Gemini 2.5 Flash is cheaper at $0.30 input / $2.50 output per million tokens (official Google API price). Kimi K2 Instruct 0905 costs $0.60 input / $2.50 output per million tokens (median across 12 API providers); Apertus 70B costs $0.82 input / $2.42 output per million tokens (median across 3 API providers). At a typical mix of three input tokens to one output token, that is $0.85 per million tokens for Gemini 2.5 Flash versus $1.07 for Kimi K2 Instruct 0905 (1.3× as much) and $1.22 for Apertus 70B (1.4× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Kimi K2 Instruct 0905 has not been scored yet, Gemini 2.5 Flash has an ECI of 140.6 and Apertus 70B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Kimi K2 Instruct 0905, Gemini 2.5 Flash and Apertus 70B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Gemini 2.5 Flash has the largest context window at 1,048,576 tokens, against 262,144 for Kimi K2 Instruct 0905 and 65,536 for Apertus 70B. Maximum output per response: Kimi K2 Instruct 0905 up to 98,304, Gemini 2.5 Flash up to 65,536, Apertus 70B up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Kimi K2 Instruct 0905 accepts text; Gemini 2.5 Flash accepts text, images, PDFs, audio and video; Apertus 70B accepts text. Gemini 2.5 Flash handles the widest range of inputs.
Are any of these open source?
Kimi K2 Instruct 0905 and Apertus 70B publishes its weights (Modified MIT and Apache-2.0) and can be self-hosted; Gemini 2.5 Flash is proprietary.
Which is newer?
Kimi K2 Instruct 0905 is the newest, released Sep 5, 2025. Apertus 70B came out Sep 2, 2025; Gemini 2.5 Flash came out Jun 17, 2025. Knowledge cutoff: Gemini 2.5 Flash Jan 2025, Apertus 70B Sep 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.
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