Gemma 2 27B vs Llama-3.1-70B-Instruct vs Mistral Large 2407
Llama-3.1-70B-Instruct comes out ahead, 43 to 39 and 35 on our weighted score, though Gemma 2 27B is 10% cheaper per token.
GoogleGemma 2 27B
35/100- ECI122.1
- Price$0.65 / $0.65
- Context8K
- Our pick
MetaLlama-3.1-70B-Instruct
43/100- ECI125.9
- Price$0.72 / $0.72
- Context128K
Mistral AIMistral Large 2407
39/100- ECI127.6
- Price$2.00 / $6.00
- Context131K
Llama-3.1-70B-Instruct is our pick
Llama-3.1-70B-Instruct is the better all-round choice, scoring 43/100 against Mistral Large 2407 (39) and Gemma 2 27B (35). Gemma 2 27B wins on price. Mistral Large 2407 wins on capability and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityMistral Large 2407Capabilities Index (ECI): Mistral Large 2407 127.6 · Llama-3.1-70B-Instruct 125.9 · Gemma 2 27B 122.1
- Lowest priceGemma 2 27BGemma 2 27B $0.65 · Llama-3.1-70B-Instruct $0.72 · Mistral Large 2407 $3.00 per 1M tokens (3:1 blend)
- Longest contextMistral Large 2407Mistral Large 2407 131,072 · Llama-3.1-70B-Instruct 128,000 · Gemma 2 27B 8,192 tokens
- Widest inputsMistral Large 2407Gemma 2 27B: Text · Llama-3.1-70B-Instruct: Text · Mistral Large 2407: Text, PDFs
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Gemma 2 27B | Llama-3.1-70B-Instruct | Mistral Large 2407 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 42 | 47 | 49 |
| Price | 25% | 56 | 54 | 26 |
| Inputs & features | 15% | 0 | 25 | 35 |
| Context window | 10% | 0 | 24 | 25 |
| Overall | 100% | 35/100 | 43/100 | 39/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Gemma 2 27BGoogle | Llama-3.1-70B-InstructMeta | Mistral Large 2407Mistral AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 122.1 | 125.9 | 127.6 (best) |
| ECI rank | #152 of 165 | #149 of 165 | #144 of 165 (best) |
| GPQA DiamondGraduate-level science questions | 36.5% | 44.2% | 49.0% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 1.4% | 3.6% | 8.5% (best) |
| Price per million tokens | |||
| Input | $0.65 (best) | $0.72 | $2.00 |
| Output | $0.65 (best) | $0.72 | $6.00 |
| Cached input | — | — | — |
| Blended (3:1) | $0.65 (best) | $0.72 | $3.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 3 providers | Median of 8 providers | Median of 5 providers |
| Limits | |||
| Context window | 8,192 tokens | 128,000 tokens | 131,072 tokens (best) |
| Max output | 2,048 tokens | 4,096 tokens | 104,857 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | Yes |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | No | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | — | — | — |
| API providers | 3 | 8 (best) | 5 |
| Released | Jul 13, 2024 | Jul 23, 2024 | Jul 24, 2024 |
| Knowledge cutoff | Jun 30, 2024 | Dec 2023 | Mar 31, 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Gemma 2 27B$7.80
- Llama-3.1-70B-Instruct$8.64
- Mistral Large 2407$32.00
Which should you choose?
Which is better: Gemma 2 27B, Llama-3.1-70B-Instruct or Mistral Large 2407?
Llama-3.1-70B-Instruct is the better all-round choice, scoring 43/100 against Mistral Large 2407 (39) and Gemma 2 27B (35). Gemma 2 27B wins on price. Mistral Large 2407 wins on capability and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Gemma 2 27B, Llama-3.1-70B-Instruct or Mistral Large 2407?
Gemma 2 27B is cheaper at $0.65 input / $0.65 output per million tokens (median across 3 API providers). Llama-3.1-70B-Instruct costs $0.72 input / $0.72 output per million tokens (median across 8 API providers); Mistral Large 2407 costs $2.00 input / $6.00 output per million tokens (median across 5 API providers). At a typical mix of three input tokens to one output token, that is $0.65 per million tokens for Gemma 2 27B versus $0.72 for Llama-3.1-70B-Instruct (1.1× as much) and $3.00 for Mistral Large 2407 (4.6× as much).
Which scores higher on benchmarks?
Mistral Large 2407 scores higher on the Capabilities Index (ECI): Mistral Large 2407 127.6 (#144 of 165), Llama-3.1-70B-Instruct 125.9 (#149 of 165) and Gemma 2 27B 122.1 (#152 of 165). The confidence ranges of the top two overlap (123.3–129.4 vs 120.8–128.2), so treat the gap as small. On individual benchmarks: GPQA Diamond — Mistral Large 2407 49.0%, Llama-3.1-70B-Instruct 44.2%, Gemma 2 27B 36.5%; OTIS Mock AIME 2024–2025 — Mistral Large 2407 8.5%, Llama-3.1-70B-Instruct 3.6%, Gemma 2 27B 1.4%.
Which is better for coding?
There are no published SWE-bench Verified results for Gemma 2 27B, Llama-3.1-70B-Instruct and Mistral Large 2407 yet, so there is no like-for-like coding score. On overall capability, Mistral Large 2407 leads, which tends to carry over to coding, but test on your own codebase. Note that Gemma 2 27B does not support tool calling, which most coding agents need.
Which has the bigger context window?
Mistral Large 2407 has the largest context window at 131,072 tokens, against 128,000 for Llama-3.1-70B-Instruct and 8,192 for Gemma 2 27B. Maximum output per response: Gemma 2 27B up to 2,048, Llama-3.1-70B-Instruct up to 4,096, Mistral Large 2407 up to 104,857 tokens.
Which can read images, PDFs, audio or video?
Gemma 2 27B accepts text; Llama-3.1-70B-Instruct accepts text; Mistral Large 2407 accepts text and PDFs. Mistral Large 2407 handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights, so you can self-host them.
Which is newer?
Mistral Large 2407 is the newest, released Jul 24, 2024. Llama-3.1-70B-Instruct came out Jul 23, 2024; Gemma 2 27B came out Jul 13, 2024. Knowledge cutoff: Gemma 2 27B Jun 30, 2024, Llama-3.1-70B-Instruct Dec 2023, Mistral Large 2407 Mar 31, 2024.
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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